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05/29/2023
Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing
Developers often dedicate significant time to maintaining and refactorin...
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05/19/2023
Complex Claim Verification with Evidence Retrieved in the Wild
Evidence retrieval is a core part of automatic fact-checking. Prior work...
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09/26/2022
News Summarization and Evaluation in the Era of GPT-3
The recent success of zero- and few-shot prompting with models like GPT-...
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05/25/2022
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors
The propensity of abstractive summarization systems to make factual erro...
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05/06/2022
The Unreliability of Explanations in Few-Shot In-Context Learning
How can prompting a large language model like GPT-3 with explanations im...
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01/16/2022
Natural Language Deduction through Search over Statement Compositions
In settings from fact-checking to question answering, we frequently want...
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12/14/2021
Massive-scale Decoding for Text Generation using Lattices
Neural text generation models like those used for summarization and tran...
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04/07/2020
Byte Pair Encoding is Suboptimal for Language Model Pretraining
The success of pretrained transformer language models in natural languag...
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03/17/2020
Calibration of Pre-trained Transformers
Pre-trained Transformers are now ubiquitous in natural language processi...
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10/07/2019
Multi-hop Question Answering via Reasoning Chains
Multi-hop question answering requires models to gather information from ...
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08/16/2019
Sketch-Driven Regular Expression Generation from Natural Language and Examples
Recent systems for converting natural language descriptions into regular...
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02/03/2019
