Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog. - Miaoran Li; Baolin Peng; Michel Galley; Jianfeng Gao 001; Zhu (Drew) Zhang (SIGDIAL, 2023)

Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models. - Miaoran Li; Baolin Peng; Zhu Zhang (CoRR, 2023)

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)

Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models. - Miaoran Li; Baolin Peng; Michel Galley; Jianfeng Gao 001; Zhu Zhang 001 (NAACL-HLT (Findings), 2024)

OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking Experience. - Miaoran Li; Baolin Peng; Jianfeng Gao 001; Zhu Zhang 001 (ACM Trans. Web, 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)

Benchmarking LLM Faithfulness in RAG with Evolving Leaderboards. - Manveer Singh Tamber; Forrest Sheng Bao; Chenyu Xu; Ge Luo 002; Suleman Kazi; Minseok Bae; Miaoran Li; Ofer Mendelevitch; Renyi Qu; Jimmy Lin (CoRR, 2025)