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ORCID18th SemEval@NAACL 2024: Mexico City, Mexico
- Atul Kr. Ojha, A. Seza Dogruöz, Harish Tayyar Madabushi, Giovanni Da San Martino, Sara Rosenthal, Aiala Rosá:
Proceedings of the 18th International Workshop on Semantic Evaluation, SemEval@NAACL 2024, Mexico City, Mexico, June 20-21, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-107-0 - Pranjal Aggarwal, Deepanshu Sachdeva:
CUNLP at SemEval-2024 Task 8: Classify Human and AI Generated Text. 1-6 - Hidetsune Takahashi, Xingru Lu, Sean Ishijima, Deokgyu Seo, Yongju Kim, Sehoon Park, Min Song, Kathylene Marante, Keitaro-luke Iso, Hirotaka Tokura, Emily Öhman:
OZemi at SemEval-2024 Task 1: A Simplistic Approach to Textual Relatedness Evaluation Using Transformers and Machine Translation. 7-12 - Hanh Thi Hong Tran, Tien Nam Nguyen, Antoine Doucet, Senja Pollak:
L3i++ at SemEval-2024 Task 8: Can Fine-tuned Large Language Model Detect Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text? 13-21 - Nicolay Rusnachenko, Huizhi Liang:
nicolay-r at SemEval-2024 Task 3: Using Flan-T5 for Reasoning Emotion Cause in Conversations with Chain-of-Thought on Emotion States. 22-27 - Ethan Heavey, James Alexander Hughes, Milton King:
StFX-NLP at SemEval-2024 Task 9: BRAINTEASER: Three Unsupervised Riddle-Solvers. 28-33 - Hinoki Crum, Steven Bethard:
hinoki at SemEval-2024 Task 7: Numeral-Aware Headline Generation (English). 34-39 - Marco Siino:
T5-Medical at SemEval-2024 Task 2: Using T5 Medical Embedding for Natural Language Inference on Clinical Trial Data. 40-46 - Yuming Fan, Dongming Yang, Xu He:
CTYUN-AI at SemEval-2024 Task 7: Boosting Numerical Understanding with Limited Data Through Effective Data Alignment. 47-52 - Marco Siino:
McRock at SemEval-2024 Task 4: Mistral 7B for Multilingual Detection of Persuasion Techniques In Memes. 53-59 - Areeg Fahad Rasheed, M. Zarkoosh:
Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification. 60-63 - Jiaxu Dao, Zhuoying Li, Youbang Su, Wensheng Gong:
Puer at SemEval-2024 Task 4: Fine-tuning Pre-trained Language Models for Meme Persuasion Technique Detection. 64-69 - Jiaxu Dao, Zhuoying Li, Xiuzhong Tang, Xiaoli Lan, Junde Wang:
Puer at SemEval-2024 Task 2: A BioLinkBERT Approach to Biomedical Natural Language Inference. 70-75 - Kiet Nguyen Tuan, Thin Dang Van:
NRK at SemEval-2024 Task 1: Semantic Textual Relatedness through Domain Adaptation and Ensemble Learning on BERT-based models. 76-81 - Marco Siino:
BrainLlama at SemEval-2024 Task 6: Prompting Llama to detect hallucinations and related observable overgeneration mistakes. 82-87 - Yuqi Wang, Zeqiang Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De:
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness. 88-94 - Yves Bestgen:
SATLab at SemEval-2024 Task 1: A Fully Instance-Specific Approach for Semantic Textual Relatedness Prediction. 95-100 - Areg Mikael Sarvazyan, José Ángel González, Marc Franco-Salvador:
Genaios at SemEval-2024 Task 8: Detecting Machine-Generated Text by Mixing Language Model Probabilistic Features. 101-107 - Mattia Opper, Siddharth Narayanaswamy:
Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less. 108-115 - Abir Chakraborty:
RGAT at SemEval-2024 Task 2: Biomedical Natural Language Inference using Graph Attention Network. 116-122 - Victoria Sherratt, Sedat Dogan, Ifeoluwa Wuraola, Lydia Bryan-Smith, Oyinkansola Onwuchekwa, Nina Dethlefs:
BDA at SemEval-2024 Task 4: Detection of Persuasion in Memes Across Languages with Ensemble Learning and External Knowledge. 123-132 - Abu Nowhash Chowdhury, Michal Ptaszynski:
nowhash at SemEval-2024 Task 4: Exploiting Fusion of Transformers for Detecting Persuasion Techniques in Multilingual Memes. 133-138 - Zahra Rahimi, Hamidreza Amirzadeh, Alireza Sohrabi, Zeinab Taghavi, Hossein Sameti:
HalluSafe at SemEval-2024 Task 6: An NLI-based Approach to Make LLMs Safer by Better Detecting Hallucinations and Overgeneration Mistakes. 139-147 - Zahra Rahimi, Mohammad Moein Shirzady, Zeinab Taghavi, Hossein Sameti:
NIMZ at SemEval-2024 Task 9: Evaluating Methods in Solving Brainteasers Defying Commonsense. 148-154 - Marco Siino:
Mistral at SemEval-2024 Task 5: Mistral 7B for argument reasoning in Civil Procedure. 155-162 - Feng Xiong, Thanet Markchom, Ziwei Zheng, Subin Jung, Varun Ojha, Huizhi Liang:
NCL-UoR at SemEval-2024 Task 8: Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection. 163-169 - Abbas Akkasi, Adnan Khan, Mai A. Shaaban, Majid Komeili, Mohammad Yaqub:
iML at SemEval-2024 Task 2: Safe Biomedical Natural Language Interference for Clinical Trials with LLM Based Ensemble Inferencing. 170-174 - Kota Shamanth Ramanath Nayak, Leila Kosseim:
CLaC at SemEval-2024 Task 4: Decoding Persuasion in Memes - An Ensemble of Language Models with Paraphrase Augmentation. 175-180 - Yuhang Zhu:
RDproj at SemEval-2024 Task 4: An Ensemble Learning Approach for Multilingual Detection of Persuasion Techniques in Memes. 181-187 - Saheed Abdullahi Salahudeen, Falalu Ibrahim Lawan, Aliyu Yusuf, Amina Abubakar Imam, Lukman Jibril Aliyu, Nur Bala Rabiu, Mahmoud Said Ahmad, Aliyu Rabiu Shuaibu, Alamin Musa:
HausaNLP at SemEval-2024 Task 1: Textual Relatedness Analysis for Semantic Representation of Sentences. 188-192 - M. Manvith Prabhu, Haricharana Srinivasa, Anand Kumar:
SCaLAR NITK at SemEval-2024 Task 5: Towards Unsupervised Question Answering system with Multi-level Summarization for Legal Text. 193-199 - Abdelhak Kelious, Mounir Okirim:
Abdelhak at SemEval-2024 Task 9: Decoding Brainteasers, The Efficacy of Dedicated Models Versus ChatGPT. 200-205 - Vineet Saravanan, Steven Wilson:
OUNLP at SemEval-2024 Task 9: Retrieval-Augmented Generation for Solving Brain Teasers with LLMs. 206-212 - Abdessamad Benlahbib, Anass Fahfouh, Hamza Alami, Achraf Boumhidi:
NLP-LISAC at SemEval-2024 Task 1: Transformer-based approaches for Determining Semantic Textual Relatedness. 213-217 - Zhen Qian, Xiaofei Xu, Xiuzhen Zhang:
ZXQ at SemEval-2024 Task 7: Fine-tuning GPT-3.5-Turbo for Numerical Reasoning. 218-223 - Baktash Ansari, Mohammadmostafa Rostamkhani, Sauleh Eetemadi:
BAMO at SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense. 224-232 - Qi Yang, Jingjie Zeng, Liang Yang, Hongfei Lin:
yangqi at SemEval-2024 Task 9: Simulate Human Thinking by Large Language Model for Lateral Thinking Challenges. 233-238 - Marco Siino:
BadRock at SemEval-2024 Task 8: DistilBERT to Detect Multigenerator, Multidomain and Multilingual Black-Box Machine-Generated Text. 239-245 - Fahad Ebrahim, Mike Joy:
WarwickNLP at SemEval-2024 Task 1: Low-Rank Cross-Encoders for Efficient Semantic Textual Relatedness. 246-252 - Thanet Markchom, Subin Jung, Huizhi Liang:
NU-RU at SemEval-2024 Task 6: Hallucination and Related Observable Overgeneration Mistake Detection Using Hypothesis-Target Similarity and SelfCheckGPT. 253-260 - Junzhe Zhao, Yingxi Wang, Huizhi Liang, Nicolay Rusnachenko:
NCL_NLP at SemEval-2024 Task 7: CoT-NumHG: A CoT-Based SFT Training Strategy with Large Language Models for Number-Focused Headline Generation. 261-269 - Cheolyeon Byun:
Byun at SemEval-2024 Task 6: Text Classification on Hallucinating Text with Simple Data Augmentation. 270-273 - Ivan Maksimov, Vasily Konovalov, Andrei Glinskii:
DeepPavlov at SemEval-2024 Task 6: Detection of Hallucinations and Overgeneration Mistakes with an Ensemble of Transformer-based Models. 274-278 - Partha Sengupta, Sandip Sarkar, Dipankar Das:
HIJLI_JU at SemEval-2024 Task 7: Enhancing Quantitative Question Answering Using Fine-tuned BERT Models. 279-284 - Shu Li, Zicen Liao, Huizhi Liang:
NCL Team at SemEval-2024 Task 3: Fusing Multimodal Pre-training Embeddings for Emotion Cause Prediction in Conversations. 285-290 - Marco Siino:
DeBERTa at SemEval-2024 Task 9: Using DeBERTa for Defying Common Sense. 291-297 - Marco Siino:
TransMistral at SemEval-2024 Task 10: Using Mistral 7B for Emotion Discovery and Reasoning its Flip in Conversation. 298-304 - Yu-an Lu, Hung-Yu Kao:
0x.Yuan at SemEval-2024 Task 2: Agents Debating can reach consensus and produce better outcomes in Medical NLI task. 305-310 - Wei Tian, Peiyu Ji, Lei Zhang, Yue Jian:
TW-NLP at SemEval-2024 Task10: Emotion Recognition and Emotion Reversal Inference in Multi-Party Dialogues. 311-315 - Josef Baloun, Jirí Martínek, Ladislav Lenc, Pavel Král, Matej Zeman, Lukás Vlcek:
UWBA at SemEval-2024 Task 3: Dialogue Representation and Multimodal Fusion for Emotion Cause Analysis. 316-325 - Vy Nguyen, Xiuzhen Zhang:
GAVx at SemEval-2024 Task 10: Emotion Flip Reasoning via Stacked Instruction Finetuning of LLMs. 326-336 - Lianshuang Su, Xiaobing Zhou:
NLP_STR_teamS at SemEval-2024 Task1: Semantic Textual Relatedness based on MASK Prediction and BERT Model. 337-341 - Rahul Mehta, Andrew Hoblitzell, Jack O'Keefe, Hyeju Jang, Vasudeva Varma:
Halu-NLP at SemEval-2024 Task 6: MetaCheckGPT - A Multi-task Hallucination Detection using LLM uncertainty and meta-models. 342-348 - Zining Wang, Yanchao Zhao, Guanghui Han, Yang Song:
QFNU_CS at SemEval-2024 Task 3: A Hybrid Pre-trained Model based Approach for Multimodal Emotion-Cause Pair Extraction Task. 349-353 - Bao Tran, Nhi Tran:
NewbieML at SemEval-2024 Task 8: Ensemble Approach for Multidomain Machine-Generated Text Detection. 354-360 - Hidetsune Takahashi:
Hidetsune at SemEval-2024 Task 3: A Simple Textual Approach to Emotion Classification and Emotion Cause Analysis in Conversations Using Machine Learning and Next Sentence Prediction. 361-364 - Ankit Vaidya, Aditya Gokhale, Arnav Desai, Ishaan Shukla, Sheetal Sonawane:
CLTeam1 at SemEval-2024 Task 10: Large Language Model based ensemble for Emotion Detection in Hinglish. 365-369 - Hidetsune Takahashi:
Hidetsune at SemEval-2024 Task 4: An Application of Machine Learning to Multilingual Propagandistic Memes Identification Using Machine Translation. 370-373 - Hidetsune Takahashi:
Hidetsune at SemEval-2024 Task 10: An English Based Approach to Emotion Recognition in Hindi-English code-mixed Conversations Using Machine Learning and Machine Translation. 374-378 - Marco Siino:
All-Mpnet at SemEval-2024 Task 1: Application of Mpnet for Evaluating Semantic Textual Relatedness. 379-384 - Yu-an Lu, Hung-Yu Kao:
0x.Yuan at SemEval-2024 Task 5: Enhancing Legal Argument Reasoning with Structured Prompts. 385-390 - Thijs Brekhof, Xuanyi Liu, Joris Ruitenbeek, Niels Top, Yuwen Zhou:
Groningen team D at SemEval-2024 Task 8: Exploring data generation and a combined model for fine-tuning LLMs for Multidomain Machine-Generated Text Detection. 391-398 - Lujia Cao, Ece Lara Kilic, Katharina Will:
Kathlalu at SemEval-2024 Task 8: A Comparative Analysis of Binary Classification Methods for Distinguishing Between Human and Machine-generated Text. 399-402 - Teodor-George Marchitan, Claudiu Creanga, Liviu P. Dinu:
Team Unibuc - NLP at SemEval-2024 Task 8: Transformer and Hybrid Deep Learning Based Models for Machine-Generated Text Detection. 403-411 - Mihaela Alexandru, Calina Ciocoiu, Ioana Maniga, Octavian Ungureanu, Daniela Gîfu, Diana Trandabat:
LinguisTech at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversation. 412-419 - Ron Keinan:
Text Mining at SemEval-2024 Task 1: Evaluating Semantic Textual Relatedness in Low-resource Languages using Various Embedding Methods and Machine Learning Regression Models. 420-431 - Anass Fahfouh, Abdessamad Benlahbib, Jamal Riffi, Hamid Tairi:
USMBA-NLP at SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials using Bert. 432-436 - Clément Brutti-Mairesse, Loïc Verlingue:
CRCL at SemEval-2024 Task 2: Simple prompt optimizations. 437-442 - Ion Anghelina, Gabriel Buta, Alexandru Enache:
SuteAlbastre at SemEval-2024 Task 4: Predicting Propaganda Techniques in Multilingual Memes using Joint Text and Vision Transformers. 443-449 - Mohammad Heydari Rad, Farhan Farsi, Shayan Bali, Romina Etezadi, Mehrnoush Shamsfard:
RFBES at SemEval-2024 Task 8: Investigating Syntactic and Semantic Features for Distinguishing AI-Generated and Human-Written Texts. 450-454 - Arthur B. Vasconcelos, Luiz Felipe De Melo, Eduardo Corrêa Gonçalves, Eduardo Bezerra, Aline Paes, Alexandre Plastino:
BAMBAS at SemEval-2024 Task 4: How far can we get without looking at hierarchies? 455-462 - Xiaoman Xu, Xiangrun Li, Taihang Wang, Jianxiang Tian, Ye Jiang:
Team QUST at SemEval-2024 Task 8: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting AI-generated Text. 463-470 - Jie Wang, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2024 Task 9: Using Pre-trained Language Models with LoRA for Multiple-choice Answering Tasks. 471-476 - Joseph Larson, Francis Tyers:
Team jelarson at SemEval 2024 Task 8: Predicting Boundary Line Between Human and Machine Generated Text. 477-484 - Shubhashis Roy Dipta, Sadat Shahriar:
HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text? 485-491 - Yuchen Wei:
Team AT at SemEval-2024 Task 8: Machine-Generated Text Detection with Semantic Embeddings. 492-496 - Xinyi Liu, Xintong Liu, Hengyang Lu:
JN666 at SemEval-2024 Task 7: NumEval: Numeral-Aware Language Understanding and Generation. 497-502 - Tarek Mahmoud, Preslav Nakov:
BERTastic at SemEval-2024 Task 4: State-of-the-Art Multilingual Propaganda Detection in Memes via Zero-Shot Learning with Vision-Language Models. 503-510 - Ram Mohan Rao Kadiyala:
RKadiyala at SemEval-2024 Task 8: Black-Box Word-Level Text Boundary Detection in Partially Machine Generated Texts. 511-519 - Spandan Das, Vinay Samuel, Shahriar Noroozizadeh:
TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries for DeBERTa Report Analysis. 520-529 - Binjie Sun, Xiaobing Zhou:
ignore at SemEval-2024 Task 5: A Legal Classification Model with Summary Generation and Contrastive Learning. 530-535 - Shen Zhang, Haojie Zhang, Jing Zhang, Xudong Zhang, Yimeng Zhuang, Jinting Wu:
Samsung Research China-Beijing at SemEval-2024 Task 3: A multi-stage framework for Emotion-Cause Pair Extraction in Conversations. 536-546 - Youlin Wu, Kaichun Wang, Kai Ma, Liang Yang, Hongfei Lin:
Werkzeug at SemEval-2024 Task 8: LLM-Generated Text Detection via Gated Mixture-of-Experts Fine-Tuning. 547-552 - Antony Rajesh, Supriya Abirami, Aravindan Chandrabose, Senthil Kumar:
SSN_Semeval10 at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversations. 553-557 - Michal Spiegel, Dominik Macko:
KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection. 558-564 - Seyedeh Fatemeh Ebrahimi, Karim Akhavan Azari, Amirmasoud Iravani, Arian Qazvini, Pouya Sadeghi, Zeinab Taghavi, Hossein Sameti:
Sharif-MGTD at SemEval-2024 Task 8: A Transformer-Based Approach to Detect Machine Generated Text. 565-572 - Nihed Bendahman, Karen Pinel-Sauvagnat, Gilles Hubert, Mokhtar Billami:
IRIT-Berger-Levrault at SemEval-2024: How Sensitive Sentence Embeddings are to Hallucinations? 573-578 - Tsz-Yeung Lau, Shih-Hung Wu:
CYUT at SemEval-2024 Task 7: A Numerals Augmentation and Feature Enhancement Approach to Numeral Reading Comprehension. 579-585 - Marius Micluta-Câmpeanu, Claudiu Creanga, Ana-Maria Bucur, Ana Sabina Uban, Liviu P. Dinu:
UniBuc at SemEval-2024 Task 2: Tailored Prompting with Solar for Clinical NLI. 586-595 - Katarina Laken:
Fralak at SemEval-2024 Task 4: combining RNN-generated hierarchy paths with simple neural nets for hierarchical multilabel text classification in a multilingual zero-shot setting. 596-601 - Julia Wunderle, Julian Schubert, Antonella Cacciatore, Albin Zehe, Jan Pfister, Andreas Hotho:
OtterlyObsessedWithSemantics at SemEval-2024 Task 4: Developing a Hierarchical Multi-Label Classification Head for Large Language Models. 602-612 - Duygu Altinok:
D-NLP at SemEval-2024 Task 2: Evaluating Clinical Inference Capabilities of Large Language Models. 613-627 - Shiyi Li, Yike Wang, Liang Yang, Shaowu Zhang, Hongfei Lin:
LMEME at SemEval-2024 Task 4: Teacher Student Fusion - Integrating CLIP with LLMs for Enhanced Persuasion Detection. 628-633 - Abhay Shanbhag, Suramya Jadhav, Shashank Rathi, Siddhesh Pande, Dipali Kadam:
Innovators at SemEval-2024 Task 10: Revolutionizing Emotion Recognition and Flip Analysis in Code-Mixed Texts. 634-641 - Erchen Yu, Junlong Wang, Xuening Qiao, Jiewei Qi, Zhaoqing Li, Hongfei Lin, Linlin Zong, Bo Xu:
DUTIR938 at SemEval-2024 Task 4: Semi-Supervised Learning and Model Ensemble for Persuasion Techniques Detection in Memes. 642-648 - Claudiu Creanga, Liviu P. Dinu:
ISDS-NLP at SemEval-2024 Task 10: Transformer based neural networks for emotion recognition in conversations. 649-654 - Ronghao Pan, José Antonio García-Díaz, Rafael Valencia-García:
UMUTeam at SemEval-2024 Task 4: Multimodal Identification of Persuasive Techniques in Memes through Large Language Models. 655-666 - Zebang Cheng, Fuqiang Niu, Yuxiang Lin, Zhi-Qi Cheng, Xiaojiang Peng, Bowen Zhang:
MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models. 667-674 - Ronghao Pan, José Antonio García-Díaz, Tomás Bernal-Beltrán, Rafael Valencia-García:
UMUTeam at SemEval-2024 Task 6: Leveraging Zero-Shot Learning for Detecting Hallucinations and Related Observable Overgeneration Mistakes. 675-681 - Bhuvanesh Verma, Lisa Raithel:
DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training. 682-696 - Ronghao Pan, José Antonio García-Díaz, Pedro José Vivancos Vicente, Rafael Valencia-García:
UMUTeam at SemEval-2024 Task 8: Combining Transformers and Syntax Features for Machine-Generated Text Detection. 697-702 - Ronghao Pan, José Antonio García-Díaz, Diego Roldán, Rafael Valencia-García:
UMUTeam at SemEval-2024 Task 10: Discovering and Reasoning about Emotions in Conversation using Transformers. 703-709 - Xiaoyan Qu, Xiangfeng Meng:
TM-TREK at SemEval-2024 Task 8: Towards LLM-Based Automatic Boundary Detection for Human-Machine Mixed Text. 710-715 - Pawan Rajpoot, Nut Chukamphaeng:
Team NP_PROBLEM at SemEval-2024 Task 7: Numerical Reasoning in Headline Generation with Preference Optimization. 716-720 - Ze Chen, Chengcheng Wei, Songtan Fang, Jiarong He, Max Gao:
OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination Detection with Weakly Supervised Data. 721-729 - Rohith Arumugam S, Angel Deborah S, Rajalakshmi Sivanaiah, Sakaya Milton Rajendram, Mirnalinee Thankanadar:
SSN_ARMM at SemEval-2024 Task 10: Emotion Detection in Multilingual Code-Mixed Conversations using LinearSVC and TF-IDF. 730-736 - Veronika Smilga, Hazem Alabiad:
TüDuo at SemEval-2024 Task 2: Flan-T5 and Data Augmentation for Biomedical NLI. 737-744 - Zuhair Hasan Shaik, Dhivya Prasanna, Enduri Jahnavi, Rishi Thippireddy, Vamsi Madhav, Sunil Saumya, Shankar Biradar:
FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversations. 745-756 - Peng Shi, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2024 Task 5: Regularized Legal-BERT for Legal Argument Reasoning Task in Civil Procedure. 757-762 - Ravindran V, Shreejith Babu G, Aashika Jetti, Rajalakshmi Sivanaiah, Angel Deborah, Mirnalinee Thankanadar, Milton R. S:
TECHSSN at SemEval-2024 Task 10: LSTM-based Approach for Emotion Detection in Multilingual Code-Mixed Conversations. 763-769 - Hongyu Guo, Xueyao Zhang, Yiyang Chen, Lin Deng, Binyang Li:
UIR-ISC at SemEval-2024 Task 3: Textual Emotion-Cause Pair Extraction in Conversations. 770-776 - Chenyi Liang, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2024 Task10: Pre-trained Language Model for Emotion Discovery and Reasoning its Flip in Conversation. 777-784 - Rengui Zhang, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2024 Task 2: Applying DeBERTa-v3-large to Safe Biomedical Natural Language Inference for Clinical Trials. 785-791 - Weijie Li, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2024 Task 1: Self-Instruction Learning with Black-box Optimization for Semantic Textual Relatedness. 792-799 - Miaoran Zhang, Mingyang Wang, Jesujoba Alabi, Dietrich Klakow:
AAdaM at SemEval-2024 Task 1: Augmentation and Adaptation for Multilingual Semantic Textual Relatedness. 800-810 - Dilip Venkatesh, Pasunti Prasanjith, Yashvardhan Sharma:
BITS Pilani at SemEval-2024 Task 10: Fine-tuning BERT and Llama 2 for Emotion Recognition in Conversation. 811-815 - Dilip Venkatesh, Yashvardhan Sharma:
BITS Pilani at SemEval-2024 Task 9: Prompt Engineering with GPT-4 for Solving Brainteasers. 816-820 - Vaishnavi R, Srimathi T, Aarthi S, Harini V:
Bridging Numerical Reasoning and Headline Generation for Enhanced Language Models. 821-828 - Valentin Pickard, Hoa Do:
TueSents at SemEval-2024 Task 8: Predicting the Shift from Human Authorship to Machine-generated Output in a Mixed Text. 829-832 - Venkatasai Ojus Yenumulapalli, Pooja Premnath, Parthiban Mohankumar, Rajalakshmi Sivanaiah, Angel Deborah S:
TECHSSN1 at SemEval-2024 Task 10: Emotion Classification in Hindi-English Code-Mixed Dialogue using Transformer-based Models. 833-838 - Bradley P. Allen, Fina Polat, Paul Groth:
SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection. 839-844 - Alberto Rodero Peña, Jacinto Mata Vázquez, Victoria Pachón Álvarez:
I2C-Huelva at SemEval-2024 Task 8: Boosting AI-Generated Text Detection with Multimodal Models and Optimized Ensembles. 845-852 - Luca Zedda, Alessandra Perniciano, Andrea Loddo, Cecilia Di Ruberto, Manuela Sanguinetti, Maurizio Atzori:
Snarci at SemEval-2024 Task 4: Themis Model for Binary Classification of Memes. 853-858 - Anik Mahmud Shanto, Md. Sajid Alam Chowdhury, Mostak Mahmud Chowdhury, Udoy Das, Hasan Murad:
Fired_from_NLP at SemEval-2024 Task 1: Towards Developing Semantic Textual Relatedness Predictor - A Transformer-based Approach. 859-864 - Dilip Venkatesh, Sundaresan Raman:
BITS Pilani at SemEval-2024 Task 1: Using text-embedding-3-large and LaBSE embeddings for Semantic Textual Relatedness. 865-868 - Elisei Rykov, Yana Shishkina, Ksenia Petrushina, Ksenia Titova, Sergey Petrakov, Alexander Panchenko:
SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection. 869-880 - Jianjian Li, Shengwei Liang, Yong Liao, Hongping Deng, Haiyang Yu:
USTCCTSU at SemEval-2024 Task 1: Reducing Anisotropy for Cross-lingual Semantic Textual Relatedness Task. 881-887 - Nathan Roll, Calbert Graham:
GreyBox at SemEval-2024 Task 4: Progressive Fine-tuning (for Multilingual Detection of Propaganda Techniques). 888-893 - Sanad Malaysha, Mustafa Jarrar, Mohammed Khalilia:
NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual Relatedness. 894-901 - Anand Kumar, Hemanth Kumar:
scaLAR SemEval-2024 Task 1: Semantic Textual Relatednes for English. 902-906 - Shreejith Babu G, Ravindran V, Aashika Jetti, Rajalakshmi Sivanaiah, Angel Deborah S:
TECHSSN at SemEval-2024 Task 1: Multilingual Analysis for Semantic Textual Relatedness using Boosted Transformer Models. 907-912 - Sankalp Bahad, Yash Bhaskar, Parameswari Krishnamurthy:
Noot Noot at SemEval-2024 Task 7: Numerical Reasoning and Headline Generation. 913-917 - Sankalp Bahad, Yash Bhaskar, Parameswari Krishnamurthy:
Fine-tuning Language Models for AI vs Human Generated Text detection. 918-921 - Hoorieh Sabzevari, Mohammadmostafa Rostamkhani, Sauleh Eetemadi:
eagerlearners at SemEval2024 Task 5: The Legal Argument Reasoning Task in Civil Procedure. 922-926 - Ashok Urlana, Aditya Saibewar, Bala Mallikarjunarao Garlapati, Charaka Vinayak Kumar, Ajeet Kumar Singh, Srinivasa Rao Chalamala:
TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques. 927-934 - Alex Eponon, Luis Ramos Perez:
Pinealai at SemEval-2024 Task 1: Exploring Semantic Relatedness Prediction using Syntactic, TF-IDF, and Distance-Based Features. 935-939 - Jianglong He, Saiteja Tallam, Srirama Nakshathri, Navaneeth Amarnath, Pratiba Kr, Deepak Kumar:
Infrrd.ai at SemEval-2024 Task 7: RAG-based end-to-end training to generate headlines and numbers. 940-951 - Sohan Choudhury, Priyam Saha, Subharthi Ray, Shankha S. Das, Dipankar Das:
AlphaIntellect at SemEval-2024 Task 6: Detection of Hallucinations in Generated Text. 952-958 - Yasamin Aali, Sardar Hamidian, Parsa Farinneya:
YSP at SemEval-2024 Task 1: Enhancing Sentence Relatedness Assessment using Siamese Networks. 959-963 - Sankalp Bahad, Yash Bhaskar, Parameswari Krishnamurthy:
NootNoot At SemEval-2024 Task 6: Hallucinations and Related Observable Overgeneration Mistakes Detection. 964-968 - Kriti Singhal, Jatin Bedi:
Transformers at SemEval-2024 Task 5: Legal Argument Reasoning Task in Civil Procedure using RoBERTa. 969-972 - Kaiyuan Chen, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2024 Task 7: Instruction Fine-tuning Models for Numerical Understanding and Generation. 973-979 - Srushti Sonavane, Sharvi Endait, Ridhima Sinare, Pritika Rohera, Advait Naik, Dipali Kadam:
CAILMD-23 at SemEval-2024 Task 1: Multilingual Evaluation of Semantic Textual Relatedness. 980-985 - Mathilde Aguiar, Pierre Zweigenbaum, Nona Naderi:
SEME at SemEval-2024 Task 2: Comparing Masked and Generative Language Models on Natural Language Inference for Clinical Trials. 986-996 - Irene Benedetto, Alkis Koudounas, Lorenzo Vaiani, Eliana Pastor, Luca Cagliero, Francesco Tarasconi:
MAINDZ at SemEval-2024 Task 5: CLUEDO - Choosing Legal oUtcome by Explaining Decision through Oversight. 997-1005 - Patrick Darwinkel, Sijbren Van Vaals, Marieke Van Der Holt, Jarno Van Houten:
Groningen Group E at SemEval-2024 Task 8: Detecting machine-generated texts through pre-trained language models augmented with explicit linguistic-stylistic features. 1006-1014 - Adnan Khurshid, Dipankar Das:
Magnum JUCSE at SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes. 1015-1018 - Leixin Zhang, Çagri Çöltekin:
Tübingen-CL at SemEval-2024 Task 1: Ensemble Learning for Semantic Relatedness Estimation. 1019-1025 - Srikar Kashyap Pulipaka, Shrirang Mhalgi, Joseph Larson, Sandra Kübler:
SemEval Task 8: A Comparison of Traditional and Neural Models for Detecting Machine Authored Text. 1026-1031 - Sara Nita, Vasile Pais:
RACAI at SemEval-2024 Task 10: Combining algorithms for code-mixed Emotion Recognition in Conversation. 1032-1037 - Mohammadmostafa Rostamkhani, Shayan Mousavinia, Sauleh Eetemadi:
ROSHA at SemEval-2024 Task 9: BRAINTEASER A Novel Task Defying Common Sense. 1038-1042 - Seyedeh Fatemeh Ebrahimi, Karim Akhavan Azari, Amirmasoud Iravani, Hadi Alizadeh, Zeinab Taghavi, Hossein Sameti:
Sharif-STR at SemEval-2024 Task 1: Transformer as a Regression Model for Fine-Grained Scoring of Textual Semantic Relations. 1043-1052 - Ioannis Maslaris, Avi Arampatzis:
DUTh at SemEval 2024 Task 5: A multi-task learning approach for the Legal Argument Reasoning Task in Civil Procedure. 1053-1057 - Mahmood Kalantari, Mehdi Feghhi, Taha Khany Alamooti:
MAMET at SemEval-2024 Task 7: Supervised Enhanced Reasoning Agent Model. 1058-1063 - Ioanna Iordanidou, Ioannis Maslaris, Avi Arampatzis:
DUTh at SemEval-2024 Task 6: Comparing Pre-trained Models on Sentence Similarity Evaluation for Detecting of Hallucinations and Related Observable Overgeneration Mistakes. 1064-1070 - Jesús-Germán Ortiz-Barajas, Gemma Bel Enguix, Helena Gómez-Adorno:
MBZUAI-UNAM at SemEval-2024 Task 1: Sentence-CROBI, a Simple Cross-Bi-Encoder-Based Neural Network Architecture for Semantic Textual Relatedness. 1071-1079 - Theodora Kyriakou, Ioannis Maslaris, Avi Arampatzis:
DUTh at SemEval 2024 Task 8: Comparing classic Machine Learning Algorithms and LLM based methods for Multigenerator, Multidomain and Multilingual Machine-Generated Text Detection. 1080-1086 - Sina Alinejad, Erfan Moosavi Monazzah:
Sina Alinejad at SemEval-2024 Task 7: Numeral Prediction using gpt3.5. 1087-1091 - Mohammad Osoolian, Erfan Moosavi Monazzah, Sauleh Eetemadi:
IUSTNLPLAB at SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes. 1092-1096 - Sofiia Levchenko, Rafal Wolert, Piotr Andruszkiewicz:
PWEITINLP at SemEval-2024 Task 3: Two Step Emotion Cause Analysis. 1097-1105 - Mohammad Hossein Abbaspour, Erfan Moosavi Monazzah, Sauleh Eetemadi:
IUST-NLPLAB at SemEval-2024 Task 9: BRAINTEASER By MPNet (Sentence Puzzle). 1106-1109 - Andric Valdez, Fernando Márquez, Jorge Pantaleón, Helena Gómez, Gemma Bel Enguix:
iimasNLP at SemEval-2024 Task 8: Unveiling structure-aware language models for automatic generated text identification. 1110-1114 - Daniela Moctezuma, Eric Sadit Tellez, José Ortiz-Bejar, Mireya Paredes:
INGEOTEC at SemEval-2024 Task 10: Bag of Words Classifiers. 1115-1120 - Cecilia Reyes, Orlando Ramos Flores, Diego Martínez-Maqueda:
IIMAS at SemEval-2024 Task 9: A Comparative Approach for Brainteaser Solutions. 1121-1126 - Roman Kazakov, Kseniia Petukhova, Ekaterina Kochmar:
PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations. 1127-1134 - Anand Kumar, Abhin B, Sidhaarth Murali:
SCaLAR at SemEval-2024 Task 8: Unmasking the machine : Exploring the power of RoBERTa Ensemble for Detecting Machine Generated Text. 1135-1139 - Kseniia Petukhova, Roman Kazakov, Ekaterina Kochmar:
PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text? 1140-1147 - Pouya Fallah, Soroush Gooran, Mohammad Jafarinasab, Pouya Sadeghi, Reza Farnia, Amirreza Tarabkhah, Zeinab Sadat Taghavi, Hossein Sameti:
SLPL SHROOM at SemEval2024 Task 06 : A comprehensive study on models ability to detect hallucination. 1148-1154 - Daniela Moctezuma, Eric Sadit Téllez, Mario Graff:
INGEOTEC at SemEval-2024 Task 1: Bag of Words and Transformers. 1155-1159 - Octavian Brodoceanu:
OctavianB at SemEval-2024 Task 6: An exploration of humanlike qualities of hallucinated LLM texts. 1160-1165 - Maha Ben-Fares, Urchade Zaratiana, Simon David Hernandez, Pierre Holat:
FI Group at SemEval-2024 Task 8: A Syntactically Motivated Architecture for Multilingual Machine-Generated Text Detection. 1166-1171 - Surbhi Sharma, Irfan Mansuri:
Team Innovative at SemEval-2024 Task 8: Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text Detection. 1172-1176 - Youri Peskine, Raphaël Troncy, Paolo Papotti:
EURECOM at SemEval-2024 Task 4: Hierarchical Loss and Model Ensembling in Detecting Persuasion Techniques. 1177-1182 - Varvara Arzt, Mohammad Mahdi Azarbeik, Ilya Lasy, Tilman Kerl, Gábor Recski:
TU Wien at SemEval-2024 Task 6: Unifying Model-Agnostic and Model-Aware Techniques for Hallucination Detection. 1183-1196 - Sumit Singh, Pankaj Goyal, Uma Shanker Tiwary:
silp_nlp at SemEval-2024 Task 1: Cross-lingual Knowledge Transfer for Mono-lingual Learning. 1197-1203 - Suyash Vardhan Mathur, Akshett Rai Jindal, Hardik Mittal, Manish Shrivastava:
LastResort at SemEval-2024 Task 3: Exploring Multimodal Emotion Cause Pair Extraction as Sequence Labelling Task. 1204-1211 - Suyash Vardhan Mathur, Akshett Rai Jindal, Manish Shrivastava:
DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning. 1212-1216 - Monika Vyas:
MorphingMinds at SemEval-2024 Task 10: Emotion Recognition in Conversation in Hindi-English Code-Mixed Conversations. 1217-1221 - Md. Sajjad Hossain, Ashraful Islam Paran, Symom Hossain Shohan, Jawad Hossain, Mohammed Moshiul Hoque:
SemanticCUETSync at SemEval-2024 Task 1: Finetuning Sentence Transformer to Find Semantic Textual Relatedness. 1222-1228 - Mehrzad Tareh, Aydin Mohandesi, Ebrahim Ansari:
IASBS at SemEval-2024 Task 10: Delving into Emotion Discovery and Reasoning in Code-Mixed Conversations. 1229-1238 - Trina Chakraborty, Marufur Rahman, Omar Riyad:
Deja Vu at SemEval 2024 Task 9: A Comparative Study of Advanced Language Models for Commonsense Reasoning. 1239-1244 - Micah Zhang, Shafiuddin Rehan Ahmed, James H. Martin:
FtG-CoT at SemEval-2024 Task 9: Solving Sentence Puzzles Using Fine-Tuned Language Models and Zero-Shot CoT Prompting. 1245-1251 - Ana Ezquerro, David Vilares:
LyS at SemEval-2024 Task 3: An Early Prototype for End-to-End Multimodal Emotion Linking as Graph-Based Parsing. 1252-1259 - Andres Gonzalez, Md Zobaer Hossain, Jahedul Alam Junaed:
NumDecoders at SemEval-2024 Task 7: FlanT5 and GPT enhanced with CoT for Numerical Reasoning. 1260-1268 - Jin Liu, Steffen Thoma:
FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical Domain. 1269-1279 - Artur Guimarães, Bruno Martins, João Magalhães:
Lisbon Computational Linguists at SemEval-2024 Task 2: Using a Mistral-7B Model and Data Augmentation. 1280-1287 - Francisco Lopez-Ponce, Ángel Cadena, Karla Salas-Jimenez, Gemma Bel Enguix, David Preciado-Márquez:
GIL-IIMAS UNAM at SemEval-2024 Task 1: SAND: An In Depth Analysis of Semantic Relatedness Using Regression and Similarity Characteristics. 1288-1292 - Daniel Schumacher, Anthony Rios:
Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4. 1293-1301 - Shantanu Nath, Ahnaf Mozib Samin:
BD-NLP at SemEval-2024 Task 2: Investigating Generative and Discriminative Models for Clinical Inference with Knowledge Augmentation. 1302-1308 - Anish Pahilajani, Samyak Rajesh Jain, Devasha Trivedi:
NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice QA. 1309-1314 - Dailin Li, Chuhan Wang, Xin Zou, Junlong Wang, Peng Chen, Jian Wang, Liang Yang, Hongfei Lin:
CoT-based Data Augmentation Strategy for Persuasion Techniques Detection. 1315-1321 - Timothy Obiso, Jingxuan Tu, James Pustejovsky:
HaRMoNEE at SemEval-2024 Task 6: Tuning-based Approaches to Hallucination Recognition. 1322-1331 - Santiago Garcia, Elizabeth Martinez, Juan Cuadrado, Juan Carlos Martínez Santos, Edwin Puertas:
VerbaNexAI Lab at SemEval-2024 Task 10: Emotion recognition and reasoning in mixed-coded conversations based on an NRC VAD approach. 1332-1338 - Victor Pacheco, Elizabeth Martinez, Juan Cuadrado, Juan Carlos Martínez Santos, Edwin Puertas:
VerbaNexAI Lab at SemEval-2024 Task 3: Deciphering emotional causality in conversations using multimodal analysis approach. 1339-1343 - Anderson Morillo, Daniel Peña, Juan Carlos Martínez Santos, Edwin Puertas:
VerbaNexAI Lab at SemEval-2024 Task 1: A Multilayer Artificial Intelligence Model for Semantic Relationship Detection. 1344-1350 - Shubhashis Roy Dipta, Sai Vallurupalli:
UMBCLU at SemEval-2024 Task 1: Semantic Textual Relatedness with and without machine translation. 1351-1357 - Md. Nishat Raihan, Dhiman Goswami, Al Nahian Bin Emran, Sadiya Sayara Chowdhury Puspo, Amrita Ganguly, Marcos Zampieri:
MasonTigers at SemEval-2024 Task 9: Solving Puzzles with an Ensemble of Chain-of-Thought Prompts. 1358-1363 - Sadiya Sayara Chowdhury Puspo, Md. Nishat Raihan, Dhiman Goswami, Al Nahian Bin Emran, Amrita Ganguly, Özlem Uzuner:
MasonTigers at SemEval-2024 Task 8: Performance Analysis of Transformer-based Models on Machine-Generated Text Detection. 1364-1372 - Sharad Chandakacherla, Vaibhav Bhargava, Natalie Parde:
UIC NLP GRADS at SemEval-2024 Task 3: Two-Step Disjoint Modeling for Emotion-Cause Pair Extraction. 1373-1379 - Dhiman Goswami, Sadiya Sayara Chowdhury Puspo, Md. Nishat Raihan, Al Nahian Bin Emran, Amrita Ganguly, Marcos Zampieri:
MasonTigers at SemEval-2024 Task 1: An Ensemble Approach for Semantic Textual Relatedness. 1380-1390 - Kejsi Take, Chau Tran:
RiddleMasters at SemEval-2024 Task 9: Comparing Instruction Fine-tuning with Zero-Shot Approaches. 1391-1396 - Shreyasi Mandal, Ashutosh Modi:
IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical Trials. 1397-1404 - Tollef Jørgensen:
PEAR at SemEval-2024 Task 1: Pair Encoding with Augmented Re-sampling for Semantic Textual Relatedness. 1405-1411 - Amirhossein Abaskohi, AmirHossein Dabiri Aghdam, Lele Wang, Giuseppe Carenini:
BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in Memes. 1412-1423 - Matt Pauk, Maria Leonor Pacheco:
Pauk at SemEval-2024 Task 4: A Neuro-Symbolic Method for Consistent Classification of Propaganda Techniques in Memes. 1424-1434 - Hwanmun Kim, Kamal Raj Kanakarajan, Malaikannan Sankarasubbu:
Saama Technologies at SemEval-2024 Task 2: Three-module System for NLI4CT Enhanced by LLM-generated Intermediate Labels. 1435 - Soumya Smruti Mishra, Mina Ghashami:
AmazUtah_NLP at SemEval-2024 Task 9: A MultiChoice Question Answering System for Commonsense Defying Reasoning. 1436-1442 - Udvas Basak, Rajarshi Dutta, Shivam Pandey, Ashutosh Modi:
IITK at SemEval-2024 Task 1: Contrastive Learning and Autoencoders for Semantic Textual Relatedness in Multilingual Texts. 1443-1448 - Souvik Das, Rohini K. Srihari:
Compos Mentis at SemEval2024 Task6: A Multi-Faceted Role-based Large Language Model Ensemble to Detect Hallucination. 1449-1454 - Lung-Hao Lee, Chen-ya Chiou, Tzu-Mi Lin:
NYCU-NLP at SemEval-2024 Task 2: Aggregating Large Language Models in Biomedical Natural Language Inference for Clinical Trials. 1455-1462 - Kevin Li, Kenan Hasanaliyev, Sally Zhu, George Altshuler, Alden Eberts, Eric Chen, Kate Wang, Emily Xia, Eli Browne, Ian Chen:
Team MLab at SemEval-2024 Task 8: Analyzing Encoder Embeddings for Detecting LLM-generated Text. 1463-1467 - Vishruth Veerendranath, Vishwa Shah, Kshitish Ghate:
Calc-CMU at SemEval-2024 Task 7: Pre-Calc - Learning to Use the Calculator Improves Numeracy in Language Models. 1468-1475 - Renhua Gu, Xiangfeng Meng:
AISPACE at SemEval-2024 task 8: A Class-balanced Soft-voting System for Detecting Multi-generator Machine-generated Text. 1476-1481 - Chung-Chi Chen, Jiantao Huang, Hen-Hsen Huang, Hiroya Takamura, Hsin-Hsi Chen:
SemEval-2024 Task 7: Numeral-Aware Language Understanding and Generation. 1482-1491 - Neng Wan, Steven Au, Esha Ubale, Decker Krogh:
UCSC NLP at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF). 1492-1497 - MohammadHossein Rezaei, Yeaeun Kwon, Reza Sanayei, Abhyuday Singh, Steven Bethard:
CLULab-UofA at SemEval-2024 Task 8: Detecting Machine-Generated Text Using Triplet-Loss-Trained Text Similarity and Text Classification. 1498-1504 - Alberto José Gutiérrez-Megías, Luis Alfonso Ureña López, Eugenio Martínez Cámara:
SINAI at SemEval-2024 Task 8: Fine-tuning on Words and Perplexity as Features for Detecting Machine Written Text. 1505-1510 - Zikang Guo, Kaijie Jiao, Xingyu Yao, Yuning Wan, Haoran Li, Benfeng Xu, Licheng Zhang, Quan Wang, Yongdong Zhang, Zhendong Mao:
USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings. 1511-1522 - Seyed Ali Farokh, Hossein Zeinali:
ALF at SemEval-2024 Task 9: Exploring Lateral Thinking Capabilities of LMs through Multi-task Fine-tuning. 1523-1528 - Konstantin Kobs, Jan Pfister, Andreas Hotho:
Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back. 1529-1536 - Nishan Chatterjee, Marko Pranjic, Boshko Koloski, Lidia Pivovarova, Senja Pollak:
whatdoyoumeme at SemEval-2024 Task 4: Hierarchical-Label-Aware Persuasion Detection using Translated Texts. 1537-1543 - Gleb Skiba, Mikhail Pukemo, Dmitry Melikhov, Konstantin Vorontsov:
LomonosovMSU at SemEval-2024 Task 4: Comparing LLMs and embedder models to identifying propaganda techniques in the content of memes in English for subtasks No1, No2a, and No2b. 1544-1548 - Natalia Grigoriadou, Maria Lymperaiou, George Filandrianos, Giorgos Stamou:
AILS-NTUA at SemEval-2024 Task 6: Efficient model tuning for hallucination detection and analysis. 1549-1560 - Arefa, Mohammed Abbas Ansari, Chandni Saxena, Tanvir Ahmad:
JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama models. 1561-1576 - Zihang Sun, Danqi Yan, Anyi Wang, Tanalp Agustoslu, Qi Feng, Chengzhi Hu, Longfei Zuo, Shijia Zhou, Hermine Kleiner, Pingjun Hong:
LMU-BioNLP at SemEval-2024 Task 2: Large Diverse Ensembles for Robust Clinical NLI. 1577-1583 - Reza Sanayei, Abhyuday Singh, MohammadHossein Rezaei, Steven Bethard:
MARiA at SemEval 2024 Task-6: Hallucination Detection Through LLMs, MNLI, and Cosine similarity. 1584-1588 - Meng Luo, Han Zhang, Shengqiong Wu, Bobo Li, Hong Han, Hao Fei:
NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations. 1589-1596 - Daniel Stuhlinger, Aron Winkler:
TueCICL at SemEval-2024 Task 8: Resource-efficient approaches for machine-generated text detection. 1597-1601 - Kyu Hyun Choi, Seung-hoon Na:
GeminiPro at SemEval-2024 Task 9: BrainTeaser on Gemini. 1602-1606 - Odysseas S. Chlapanis, Ion Androutsopoulos, Dimitrios Galanis:
Archimedes-AUEB at SemEval-2024 Task 5: LLM explains Civil Procedure. 1607-1622 - Ayan Datta, Aryan Chandramania, Radhika Mamidi:
Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection. 1623-1626 - Jainit Sushil Bafna, Hardik Mittal, Suyash Sethia, Manish Shrivastava, Radhika Mamidi:
Mast Kalandar at SemEval-2024 Task 8: On the Trail of Textual Origins: RoBERTa-BiLSTM Approach to Detect AI-Generated Text. 1627-1633 - Mengyao Piao, Chang Su, Yuang Li, Xiaosong Qiao, Xiaofeng Zhao, Yinglu Li, Min Zhang, Hao Yang:
HW-TSC 2024 Submission for the SemEval-2024 Task 1: Semantic Textual Relatedness (STR). 1634-1638 - Weiqi Wang, Baixuan Xu, Haochen Shi, Jiaxin Bai, Qi Hu, Yangqiu Song:
KnowComp at SemEval-2024 Task 9: Conceptualization-Augmented Prompting with Large Language Models for Lateral Reasoning. 1639-1645 - Yinglu Li, Yanqing Zhao, Min Zhang, Yadong Deng, Aiju Geng, Xiaoqin Liu, Mengxin Ren, Yuang Li, Chang Su, Xiaofeng Zhao:
HW-TSC at SemEval-2024 Task 9: Exploring Prompt Engineering Strategies for Brain Teaser Puzzles Through LLMs. 1646-1651 - Kristiyan Krumov, Svetla Boytcheva, Ivan Koytchev:
SU-FMI at SemEval-2024 Task 5: From BERT Fine-Tuning to LLM Prompt Engineering - Approaches in Legal Argument Reasoning. 1652-1658 - Ali Zhunis, Hao-yun Chuang:
Challenges at SemEval 2024 Task 7: Contrastive Learning Approach on Numeral-Aware Language Generation. 1659-1662 - Béla Rösener, Hong-Bo Wei, Ilinca Vandici:
Team Bolaca at SemEval-2024 Task 6: Sentence-transformers are all you need. 1663-1666 - Alexander Shirnin, Nikita Andreev, Vladislav Mikhailov, Ekaterina Artemova:
AIpom at SemEval-2024 Task 8: Detecting AI-produced Outputs in M4. 1667-1672 - Jennifer Marks, MohammadReza Davari, Leila Kosseim:
CLaC at SemEval-2024 Task 2: Faithful Clinical Trial Inference. 1673-1677 - Federico Borra, Claudio Savelli, Giacomo Rosso, Alkis Koudounas, Flavio Giobergia:
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection. 1678-1684 - Patanjali Bhamidipati, Advaith Malladi, Manish Shrivastava, Radhika Mamidi:
Maha Bhaashya at SemEval-2024 Task 6: Zero-Shot Multi-task Hallucination Detection. 1685-1689 - Vittorio Ciccarelli, Cornelia Genz, Nele Mastracchio, Wiebke Petersen, Anna Stein, Hanxin Xia:
Team art-nat-HHU at SemEval-2024 Task 8: Stylistically Informed Fusion Model for MGT-Detection. 1690-1697 - Alireza Ghahramani Kure, Mahshid Dehghani, Mohammad Mahdi Abootorabi, Nona Ghazizadeh, Seyed Arshan Dalili, Ehsaneddin Asgari:
AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair Analysis. 1698-1703 - Mohammad Mahdi Abootorabi, Nona Ghazizadeh, Seyed Arshan Dalili, Alireza Ghahramani Kure, Mahshid Dehghani, Ehsaneddin Asgari:
AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations. 1704-1710 - Huixin Chen, Jan Büssing, David Rügamer, Ercong Nie:
Team MGTD4ADL at SemEval-2024 Task 8: Leveraging (Sentence) Transformer Models with Contrastive Learning for Identifying Machine-Generated Text. 1711-1718 - Monika Singh, Sujit Kumar, Tanveen, Sanasam Ranbir Singh:
ClusterCore at SemEval-2024 Task 7: Few Shot Prompting With Large Language Models for Numeral-Aware Headline Generation. 1719-1726 - Omid Ghahroodi, Ehsaneddin Asgari:
HierarchyEverywhere at SemEval-2024 Task 4: Detection of Persuasion Techniques in Memes Using Hierarchical Text Classifier. 1727-1732 - Ioannis Panagiotopoulos, George Filandrianos, Maria Lymperaiou, Giorgos Stamou:
AILS-NTUA at SemEval-2024 Task 9: Cracking Brain Teasers: Transformer Models for Lateral Thinking Puzzles. 1733-1746 - Julia Belikova, Dmitrii Kosenko:
DeepPavlov at SemEval-2024 Task 3: Multimodal Large Language Models in Emotion Reasoning. 1747-1757 - Harshit Gupta, Manav Chaudhary, Shivansh Subramanian, Tathagata Raha, Vasudeva Varma:
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers. 1758-1766 - Pouya Sadeghi, Amirhossein Abaskohi, Yadollah Yaghoobzadeh:
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers? 1767-1778 - Shreenaga Chikoti, Shrey Mehta, Ashutosh Modi:
IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in Memes. 1779-1787 - Wei Liu, Wanyao Shi, Zijian Zhang, Hui Huang:
HIT-MI&T Lab at SemEval-2024 Task 6: DeBERTa-based Entailment Model is a Reliable Hallucination Detector. 1788-1797 - Ning Shi, Senyu Li, Guoqing Luo, Amirreza Mirzaei, Ali Rafiei, Jai Riley, Hadi Sheikhi, Mahvash Siavashpour, Mohammad Tavakoli, Bradley Hauer, Grzegorz Kondrak:
UAlberta at SemEval-2024 Task 1: A Potpourri of Methods for Quantifying Multilingual Semantic Textual Relatedness and Similarity. 1798-1805 - Xiaofeng Zhao, Xiaosong Qiao, Kaiwen Ou, Min Zhang, Chang Su, Mengyao Piao, Yuang Li, Yinglu Li, Ming Zhu, Yilun Liu:
HW-TSC at SemEval-2024 Task 5: Self-Eval? A Confident LLM System for Auto Prediction and Evaluation for the Legal Argument Reasoning Task. 1806-1810 - Shubham Patel, Divyaksh Shukla, Ashutosh Modi:
IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker Embeddings. 1811-1820 - Anastasia Voznyuk, Vasily Konovalov:
DeepPavlov at SemEval-2024 Task 8: Leveraging Transfer Learning for Detecting Boundaries of Machine-Generated Texts. 1821-1829 - Xinyue Liang, Jiawei Li, Yizhe Yang, Yang Gao:
Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding. 1830-1841 - Shijia Zhou, Huangyan Shan, Barbara Plank, Robert Litschko:
MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual Relatedness. 1842-1853 - Senthil Kumar, Aravindan Chandrabose, Gokulakrishnan B, Karthikraja TP:
NLP_Team1@SSN at SemEval-2024 Task 1: Impact of language models in Sentence-BERT for Semantic Textual Relatedness in Low-resource Languages. 1854-1859 - Meredith Gibbons, Maggie Mi, Xingyi Song, Aline Villavicencio:
ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification. 1860-1867 - Shih-Wei Guo, Yao-Chung Fan:
NLPNCHU at SemEval-2024 Task 4: A Comparison of MDHC Strategy and In-domain Pre-training for Multilingual Detection of Persuasion Techniques in Memes. 1868-1875 - Alvin Po-Chun Chen, Ray Groshan, Sean von Bayern:
Mothman at SemEval-2024 Task 9: An Iterative System for Chain-of-Thought Prompt Optimization. 1876-1888 - Erfan Moosavi Monazzah, Mahdi Feghhi:
Zero Shot is All You Need at SemEval-2024 Task 9: A study of State of the Art LLMs on Lateral Thinking Puzzles. 1889-1893 - Aryo Gema, Giwon Hong, Pasquale Minervini, Luke Daines, Beatrice Alex:
Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4. 1894-1904 - Reem Abdel-Salam, Mary Adewunmi, Mercy Akinwale:
CaresAI at SemEval-2024 Task 2: Improving Natural Language Inference in Clinical Trial Data using Model Ensemble and Data Explanation. 1905-1911 - Fatemezahra Bakhshande, Mahdieh Naderi:
CVcoders on Semeval-2024 Task 4. 1912-1918 - Rina Donker, Björn Overbeek, Dennis Thulden, Oscar Zwagers:
Groningen Team F at SemEval-2024 Task 8: Detecting Machine-Generated Text using Feature-Based Machine Learning Models. 1919-1925 - Huseyin Alecakir, Puja Chakraborty, Pontus Henningsson, Matthijs Van Hofslot, Alon Scheuer:
Groningen Team A at SemEval-2024 Task 8: Human/Machine Authorship Attribution Using a Combination of Probabilistic and Linguistic Features. 1926-1932 - Shivani Kumar, Md. Shad Akhtar, Erik Cambria, Tanmoy Chakraborty:
SemEval 2024 - Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF). 1933-1946 - Maël Jullien, Marco Valentino, André Freitas:
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials. 1947-1962 - Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla, Idris Abdulmumin, Ibrahim Said Ahmad, Sanchit Ahuja, Alham Fikri Aji, Vladimir Araujo, Meriem Beloucif, Christine de Kock, Oumaima Hourrane, Manish Shrivastava, Thamar Solorio, Nirmal Surange, Krishnapriya Vishnubhotla, Seid Muhie Yimam, Saif M. Mohammad:
SemEval Task 1: Semantic Textual Relatedness for African and Asian Languages. 1963-1978 - Timothee Mickus, Elaine Zosa, Raúl Vázquez, Teemu Vahtola, Jörg Tiedemann, Vincent Segonne, Alessandro Raganato, Marianna Apidianaki:
SemEval-2024 Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes. 1979-1993 - Yifan Jiang, Filip Ilievski, Kaixin Ma:
SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense. 1994-2008 - Dimitar Dimitrov, Firoj Alam, Maram Hasanain, Abul Hasnat, Fabrizio Silvestri, Preslav Nakov, Giovanni Da San Martino:
SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes. 2009-2026 - Lena Held, Ivan Habernal:
SemEval-2024 Task 5: Argument Reasoning in Civil Procedure. 2027-2038 - Fanfan Wang, Heqing Ma, Rui Xia, Jianfei Yu, Erik Cambria:
SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations. 2039-2050 - Charlie Grimshaw, Kalina Bontcheva, Xingyi Song:
SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in Memes. 2051-2056 - Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold:
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection. 2057-2079
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