We introduce a model that predicts two answers for a given question: one based on given contextual knowledge and one based on parametric knowledge.

2022/11/10 · We introduce a model that predicts two answers for a given question: one based on given contextual knowledge and one based on parametric knowledge.

This code accompanies the paper DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.

Question answering models commonly have access to two sources of “knowledge” during inference time: (1) parametric knowledge -the factual knowledge encoded ...

In this work, we propose a new paradigm in which QA models are trained to disentangle the two sources of knowledge. Using counterfactual data ...

2023/07/10 · On-demand video platform giving you access to lectures from conferences worldwide.

Disentqa: Disentangling parametric and contextual knowledge with counterfactual question answering. E Neeman, R Aharoni, O Honovich, L Choshen, I Szpektor, O ...

DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering. Ella Neeman | Roee Aharoni | Or Honovich | Leshem Choshen ...

yoshikawa. DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering (ACL2023). Ella Neeman, Roee Aharoni, Or ...

We posit that LLMs should 1) identify knowledge conflicts, 2) pinpoint conflicting information segments, and 3) provide distinct answers or viewpoints in ...