Greg Durrett
6 papers in the PaperMetrix corpus
Papers by this author
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Effective Use of Transformer Networks for Entity Tracking
2019
Aditya Gupta, Greg Durrett. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
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Calibration of Pre-trained Transformers
2020
Pre-trained Transformers are now ubiquitous in natural language processing, but despite their high end-task performance, little is known empirically about whether they are calibrated. Specifically, do these models' posterior probabilities provide an accurate empirical measure …
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Using Natural Language Explanations to Rescale Human Judgments
2023 · arXiv (Cornell University)
The rise of large language models (LLMs) has brought a critical need for high-quality human-labeled data, particularly for processes like human feedback and evaluation. A common practice is to label data via consensus annotation over …
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Learning Composable Chains-of-Thought
2025 · arXiv (Cornell University)
A common approach for teaching large language models (LLMs) to reason is to train on chain-of-thought (CoT) traces of in-distribution reasoning problems, but such annotated data is costly to obtain for every problem of interest. …
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Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints
2016
We present a discriminative model for single-document summarization that integrally combines compression and anaphoricity constraints.
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Neural Extractive Text Summarization with Syntactic Compression
2019
Jiacheng Xu, Greg Durrett. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.