Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI. - Yangqiaoyu Zhou; Chenhao Tan (CoRR, 2021)

GraPhyC: Using Consensus to Infer Tumor Evolution. - Kiya Govek; Camden Sikes; Yangqiaoyu Zhou; Layla Oesper (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

FLamE: Few-shot Learning from Natural Language Explanations. - Yangqiaoyu Zhou; Yiming Zhang 022; Chenhao Tan (ACL (1), 2023)

Learning to Ignore Adversarial Attacks. - Yiming Zhang 022; Yangqiaoyu Zhou; Samuel Carton; Chenhao Tan (EACL, 2023)

Hypothesis Generation with Large Language Models. - Yangqiaoyu Zhou; Haokun Liu; Tejes Srivastava; Hongyuan Mei; Chenhao Tan (CoRR, 2024)

Literature Meets Data: A Synergistic Approach to Hypothesis Generation. - Haokun Liu; Yangqiaoyu Zhou; Mingxuan Li; Chenfei Yuan; Chenhao Tan (ACL (1), 2025)

HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation. - Haokun Liu; Sicong Huang 001; Jingyu Hu; Yangqiaoyu Zhou; Chenhao Tan (CoRR, 2025)