The Perfect Blend: Redefining RLHF with Mixture of Judges. - Tengyu Xu; Eryk Helenowski; Karthik Abinav Sankararaman; Di Jin 005; Kaiyan Peng; Eric Han; Shaoliang Nie; Chen Zhu; Hejia Zhang; Wenxuan Zhou; Zhouhao Zeng; Yun He; et al. (CoRR, 2024)

Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following. - Yun He; Di Jin 005; Chaoqi Wang; Chloe Bi; Karishma Mandyam; Hejia Zhang; Chen Zhu; Ning Li; Tengyu Xu; Hongjiang Lv; Shruti Bhosale; Chenguang Zhu 001; et al. (CoRR, 2024)

Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation. - Chengwei Qin; Wenxuan Zhou; Karthik Abinav Sankararaman; Nanshu Wang; Tengyu Xu; Alexander Radovic; Eryk Helenowski; Arya Talebzadeh; Aditya Tayade; Sinong Wang; Shafiq Joty; Han Fang; et al. (ACL (2), 2025)

Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization. - Zishun Yu; Tengyu Xu; Di Jin 005; Karthik Abinav Sankararaman; Yun He; Wenxuan Zhou; Zhouhao Zeng; Eryk Helenowski; Chen Zhu; Sinong Wang; Hao Ma 001; Han Fang (CoRR, 2025)

Reinforcement Learning from User Feedback. - Eric Han; Jun Chen; Karthik Abinav Sankararaman; Xiaoliang Peng; Tengyu Xu; Eryk Helenowski; Kaiyan Peng; Mrinal Kumar 005; Sinong Wang; Han Fang; Arya Talebzadeh (CoRR, 2025)

LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training. - Bo Wu; Sid Wang; Yunhao Tang; Jia Ding; Eryk Helenowski; Liang Tan; Tengyu Xu; Tushar Gowda; Zhengxing Chen; Chen Zhu; Xiaocheng Tang; Yundi Qian; et al. (CoRR, 2025)

Generalized Parallel Scaling with Interdependent Generations. - Harry Dong; David Brandfonbrener; Eryk Helenowski; Yun He; Mrinal Kumar 005; Han Fang; Yuejie Chi; Karthik Abinav Sankararaman (CoRR, 2025)