Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning

EMNLP '22 Talk for paper: https://www.semanticscholar.org/paper/Explaining-Answers-with-Entailment-Trees-Dalvi-Jansen/4a56f72b9c529810ba4ecfe9eac522d87f6db81d

Our goal is a question-answering (QA) system that can show how its answers are implied by its own internal beliefs via a systematic chain of reasoning. Such a capability would allow better understanding of why a model produced the answer it did. Our approach is to recursively combine a trained backward-chaining model, capable of generating a set of premises entailing an answer hypothesis, with a verifier that checks that the model itself believes those …

reasoning