Voice Direction-Of-Arrival Conversion. - I-Chun Chern; Steffi Chern; Heng-Cheng Kuo; Huan-Hsin Tseng; Kuo-Hsuan Hung; Yu Tsao 001 (MLSP, 2023)

FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios. - I-Chun Chern; Steffi Chern; Shiqi Chen; Weizhe Yuan; Kehua Feng; Chunting Zhou; Junxian He; Graham Neubig; Pengfei Liu 003 (CoRR, 2023)

Align on the Fly: Adapting Chatbot Behavior to Established Norms. - Chunpu Xu; Steffi Chern; Ethan Chern; Ge Zhang 009; Zekun Wang; Ruibo Liu; Jing Li; Jie Fu 001; Pengfei Liu 003 (CoRR, 2023)

OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI. - Zhen Huang; Zengzhi Wang; Shijie Xia; Xuefeng Li 003; Haoyang Zou; Ruijie Xu; Run-Ze Fan; Lyumanshan Ye; Ethan Chern; Yixin Ye; Yikai Zhang 003; Yuqing Yang 004; et al. (NeurIPS, 2024)

Combating Adversarial Attacks with Multi-Agent Debate. - Steffi Chern; Zhen Fan 003; Andy Liu (CoRR, 2024)

Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent Debate. - Steffi Chern; Ethan Chern; Graham Neubig; Pengfei Liu 003 (CoRR, 2024)

BeHonest: Benchmarking Honesty of Large Language Models. - Steffi Chern; Zhulin Hu; Yuqing Yang 004; Ethan Chern; Yuan Guo; Jiahe Jin; Binjie Wang; Pengfei Liu 003 (CoRR, 2024)

Halu-J: Critique-Based Hallucination Judge. - Binjie Wang; Steffi Chern; Ethan Chern; Pengfei Liu 003 (CoRR, 2024)

Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme. - Yan Ma; Steffi Chern; Xuyang Shen; Yiran Zhong; Pengfei Liu (CoRR, 2025)

Generative AI Act II: Test Time Scaling Drives Cognition Engineering. - Shijie Xia; Yiwei Qin; Xuefeng Li 003; Yan Ma; Run-Ze Fan; Steffi Chern; Haoyang Zou; Fan Zhou; Xiangkun Hu; Jiahe Jin; Yanheng He; Yixin Ye; et al. (CoRR, 2025)

Thinking with Generated Images. - Ethan Chern; Zhulin Hu; Steffi Chern; Siqi Kou; Jiadi Su; Yan Ma; Zhijie Deng; Pengfei Liu 003 (CoRR, 2025)