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05/24/2023
Editing Commonsense Knowledge in GPT
Memory editing methods for updating encyclopedic knowledge in transforme...
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05/24/2023
Attentiveness to Answer Choices Doesn't Always Entail High QA Accuracy
When large language models (LMs) are applied in zero- or few-shot settin...
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03/30/2023
Self-Refine: Iterative Refinement with Self-Feedback
Like people, LLMs do not always generate the best text for a given gener...
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04/16/2022
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes
Multi-hop Question Answering (QA) is a challenging task since it require...
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05/04/2021
Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning
Transformer-based language model approaches to automated story generatio...
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02/24/2021
Teach Me to Explain: A Review of Datasets for Explainable NLP
Explainable NLP (ExNLP) has increasingly focused on collecting human-ann...
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10/24/2020
Measuring Association Between Labels and Free-Text Rationales
Interpretable NLP has taking increasing interest in ensuring that explan...
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04/30/2020
Learning to Faithfully Rationalize by Construction
In many settings it is important for one to be able to understand why a ...
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08/13/2019
Attention is not not Explanation
Attention mechanisms play a central role in NLP systems, especially with...
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06/08/2019
Clinical Concept Extraction for Document-Level Coding
The text of clinical notes can be a valuable source of patient informati...
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02/15/2018
