Papers by Jeffrey Cheng
Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering (2025.acl-short)
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| Challenge: | Existing evaluations of test-time scaling assume that a reasoning system should always give an answer to any question provided. |
| Approach: | They propose to increase compute budget at inference time to increase confidence in correct responses by considering settings with non-zero levels of response risk. |
| Outcome: | The proposed model can answer more questions correctly and have higher confidence in correct responses. |
CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers? (2025.findings-emnlp)
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Jiefu Ou, William Gantt Walden, Kate Sanders, Zhengping Jiang, Kaiser Sun, Jeffrey Cheng, William Jurayj, Miriam Wanner, Shaobo Liang, Candice Morgan, Seunghoon Han, Weiqi Wang, Chandler May, Hannah Recknor, Daniel Khashabi, Benjamin Van Durme
| Challenge: | CLAIMCHECK is an annotated dataset of NeurIPS 2023 and 2024 submissions and reviews from OpenReview. |
| Approach: | They annotate NeurIPS 2023 and 2024 submissions and reviews for weaknesses and dispute them for fine-grained labels of validity, objectivity, and type of the identified weaknesses. |
| Outcome: | The proposed dataset is richly annotated by ML experts for weaknesses statements in the reviews and the claims that they dispute, as well as fine-grained labels of validity, objectivity, and type of the identified weaknesses. |