Jeffrey Cheng — accepted AI-conference papers

2025

CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers?

Jiefu Ou, William Walden, Kate Sanders, Zhengping Jiang, Kaiser Sun, Jeffrey Cheng +10

EMNLP 2025

A core part of scientific peer review involves providing expert critiques that directly assess the scientific claims a paper makes. While it is now possible to automatically generate plausible (if generic) reviews, ensuring that these reviews are sound and grounded in the papers’ claims remains chal

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2025

Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering

William Jurayj, Jeffrey Cheng, Benjamin Van Durme

ACL 2025short

Scaling the test-time compute of large language models has demonstrated impressive performance on reasoning benchmarks. However, existing evaluations of test-time scaling make the strong assumption that a reasoning system should always give an answer to any question provided. This overlooks concerns…

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