Christopher Potts
5 papers in the PaperMetrix corpus
Papers by this author
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Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval
2021 · arXiv (Cornell University)
Multi-hop reasoning (i.e., reasoning across two or more documents) is a key ingredient for NLP models that leverage large corpora to exhibit broad knowledge. To retrieve evidence passages, multi-hop models must contend with a fast-growing …
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Systematicity in GPT-3’s Interpretation of Novel English Noun Compounds
2022
Levin et al. (2019) show experimentally that the interpretations of novel English noun compounds (e.g., stew skillet), while not fully compositional, are highly predictable based on whether the modifier and head refer to artifacts or …
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Mapping the Increasing Use of LLMs in Scientific Papers
2024 · arXiv (Cornell University)
Scientific publishing lays the foundation of science by disseminating research findings, fostering collaboration, encouraging reproducibility, and ensuring that scientific knowledge is accessible, verifiable, and built upon over time. Recently, there has been immense speculation about …
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A large annotated corpus for learning natural language inference
2015 · arXiv (Cornell University)
Understanding entailment and contradiction is fundamental to understanding natural language, and inference about entailment and contradiction is a valuable testing ground for the development of semantic representations. However, machine learning research in this area has …
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A Fast Unified Model for Parsing and Sentence Understanding
2016
Samuel R. Bowman, Jon Gauthier, Abhinav Rastogi, Raghav Gupta, Christopher D. Manning, Christopher Potts. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2016.