Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset. - Tianqing Fang; Weiqi Wang 001; Sehyun Choi; Shibo Hao; Hongming Zhang 009; Yangqiu Song; Bin He (EMNLP (1), 2021)

KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection. - Sehyun Choi; Tianqing Fang; Zhaowei Wang 003; Yangqiu Song (EMNLP, 2023)

CKBP v2: An Expert-Annotated Evaluation Set for Commonsense Knowledge Base Population. - Tianqing Fang; Quyet V. Do; Sehyun Choi; Weiqi Wang 001; Yangqiu Song (CoRR, 2023)

AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation. - Zhaowei Wang 003; Wei Fan 001; Qing Zong; Hongming Zhang 009; Sehyun Choi; Tianqing Fang; Xin Liu 039; Yangqiu Song; Ginny Y. Wong; Simon See (ACL (1), 2024)

AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph. - Zhaowei Wang 003; Haochen Shi; Weiqi Wang 001; Tianqing Fang; Hongming Zhang 009; Sehyun Choi; Xin Liu 039; Yangqiu Song (NAACL-HLT (Findings), 2024)

Cross-Architecture Transfer Learning for Linear-Cost Inference Transformers. - Sehyun Choi (CoRR, 2024)

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging. - Shi Jie Yu; Sehyun Choi (CoRR, 2025)