Design and Evaluation of Object Classifiers for Probabilistic Decision-Making in Autonomous Systems. - Hamad Ullah; Weisi Fan; Tichakorn Wongpiromsarn (ICRA, 2022)

On the Intractability to Synthesize Factual Inconsistencies in Summarization. - Ge Luo 002; Weisi Fan; Miaoran Li; Youbiao He; Yinfei Yang; Forrest Sheng Bao (EACL (Findings), 2024)

SummaCoz: A Dataset for Improving the Interpretability of Factual Consistency Detection for Summarization. - Ge Luo 002; Weisi Fan; Miaoran Li; Guoruizhe Sun; Runlong Zhang; Chenyu Xu; Forrest Sheng Bao (EMNLP (Findings), 2024)

Incorporating System-level Safety Requirements in Perception Models via Reinforcement Learning. - Weisi Fan; Jesse Lane; Qisai Liu; Soumik Sarkar; Tichakorn Wongpiromsarn (CoRR, 2024)

FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs. - Forrest Sheng Bao; Miaoran Li; Renyi Qu; Ge Luo 002; Erana Wan; Yujia Tang; Weisi Fan; Manveer Singh Tamber; Suleman Kazi; Vivek Sourabh; Mike Qi; Ruixuan Tu; et al. (NAACL (Short Papers), 2025)