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06/15/2023
Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Theory of Mind
Large Language Models (LLMs) perform complex reasoning by generating exp...
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04/21/2023
ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness
Multi-step reasoning ability is fundamental to many natural language tas...
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12/16/2022
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation
Prompting large language models has enabled significant recent progress ...
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11/14/2022
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations
Recent work on explainable NLP has shown that few-shot prompting can ena...
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09/21/2022
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees
Current abstractive summarization models either suffer from a lack of cl...
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04/11/2022
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning
Pre-trained sequence-to-sequence language models have led to widespread ...
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06/02/2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning
We focus on a type of linguistic formal reasoning where the goal is to r...
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04/15/2021
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning
Recent commonsense-reasoning tasks are typically discriminative in natur...
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10/20/2020
ConjNLI: Natural Language Inference Over Conjunctive Sentences
Reasoning about conjuncts in conjunctive sentences is important for a de...
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02/25/2019
