Mohammad Beigi

According to our database, Mohammad Beigi authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

IR³: Contrastive Inverse Reinforcement Learning for Interpretable Detection and Mitigation of Reward Hacking.

Mohammad Beigi, Ming Jin, Junshan Zhang, Jiaxin Zhang, Qifan Wang, Lifu Huang

CoRR, February, 2026

Adversarial Reward Auditing for Active Detection and Mitigation of Reward Hacking.

Mohammad Beigi, Ming Jin, Junshan Zhang, Qifan Wang, Lifu Huang

CoRR, February, 2026

Survey of uncertainty estimation in LLMs - Sources, methods, applications, and challenges.

Jianfeng He, Linlin Yu, Changbin Li, Runing Yang, Fanglan Chen, Kangshuo Li, Min Zhang, Shuo Lei, Xuchao Zhang, Mohammad Beigi, Kaize Ding, Bei Xiao, Lifu Huang, Feng Chen, Ming Jin, Chang-Tien Lu

Inf. Fusion, 2026

2025

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models.

Zihao Lin, Samyadeep Basu, Mohammad Beigi, Varun Manjunatha, Ryan A. Rossi, Zichao Wang, Yufan Zhou, Sriram Balasubramanian, Arman Zarei, Keivan Rezaei, Ying Shen, Barry Menglong Yao, Zhiyang Xu, Qin Liu, Yuxiang Zhang, Yan Sun, Shilong Liu, Li Shen, Hongxuan Li, Soheil Feizi, Lifu Huang

CoRR, February, 2025

Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories.

Mohammad Beigi, Ying Shen, Parshin Shojaee, Qifan Wang, Zichao Wang, Chandan K. Reddy, Ming Jin, Lifu Huang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models.

Mohammad Beigi, Sijia Wang, Ying Shen, Zihao Lin, Adithya Kulkarni, Jianfeng He, Feng Chen, Ming Jin, Jin-Hee Cho, Dawei Zhou, Chang-Tien Lu, Lifu Huang

CoRR, 2024

InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States.

Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang

CoRR, 2024

InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States.

Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models.

Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang, Wenpeng Yin, Lifu Huang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024