Policy Optimization for Continuous Reinforcement Learning. - Hanyang Zhao; Wenpin Tang; David D. Yao (NeurIPS, 2023)

Contractive Diffusion Probabilistic Models. - Wenpin Tang; Hanyang Zhao (CoRR, 2024)

Score-based Diffusion Models via Stochastic Differential Equations - a Technical Tutorial. - Wenpin Tang; Hanyang Zhao (CoRR, 2024)

Mallows-DPO: Fine-Tune Your LLM with Preference Dispersions. - Haoxian Chen 002; Hanyang Zhao; Henry Lam; David D. Yao; Wenpin Tang (CoRR, 2024)

Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning. - Hanyang Zhao; Haoxian Chen 002; Ji Zhang; David D. Yao; Wenpin Tang (CoRR, 2024)

Preference Tuning with Human Feedback on Language, Speech, and Vision Tasks: A Survey. - Genta Indra Winata; Hanyang Zhao; Anirban Das; Wenpin Tang; David D. Yao; Shi-Xiong Zhang 001; Sambit Sahu (CoRR, 2024)

RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization. - Hanyang Zhao; Genta Indra Winata; Anirban Das; Shi-Xiong Zhang 001; David D. Yao; Wenpin Tang; Sambit Sahu (CoRR, 2024)

WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines. - Genta Indra Winata; Frederikus Hudi; Patrick Amadeus Irawan; David Anugraha; Rifki Afina Putri; Yutong Wang; Adam Nohejl; Ubaidillah Ariq Prathama; Nedjma Ousidhoum; Afifa Amriani; Anar Rzayev; Anirban Das; et al. (CoRR, 2024)

MallowsPO: Fine-Tune Your LLM with Preference Dispersions. - Haoxian Chen 002; Hanyang Zhao; Henry Lam; David D. Yao; Wenpin Tang (ICLR, 2025)

RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization. - Hanyang Zhao; Genta Indra Winata; Anirban Das; Shi-Xiong Zhang; David D. Yao; Wenpin Tang; Sambit Sahu (ICLR, 2025)

WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines. - Genta Indra Winata; Frederikus Hudi; Patrick Amadeus Irawan; David Anugraha; Rifki Afina Putri; Yutong Wang; Adam Nohejl; Ubaidillah Ariq Prathama; Nedjma Ousidhoum; Afifa Amriani; Anar Rzayev; Anirban Das; et al. (NAACL (Long Papers), 2025)

Preference Tuning with Human Feedback on Language, Speech, and Vision Tasks: A Survey. - Genta Indra Winata; Hanyang Zhao; Anirban Das; Wenpin Tang; David D. Yao; Shi-Xiong Zhang; Sambit Sahu (J. Artif. Intell. Res., 2025)

Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning. - Hanyang Zhao; Haoxian Chen 002; Ji Zhang; David D. Yao; Wenpin Tang (CoRR, 2025)

Fine-Tuning Diffusion Generative Models via Rich Preference Optimization. - Hanyang Zhao; Haoxian Chen 002; Yucheng Guo; Genta Indra Winata; Tingting Ou; Ziyu Huang; David D. Yao; Wenpin Tang (CoRR, 2025)

R3: Robust Rubric-Agnostic Reward Models. - David Anugraha; Zilu Tang; Lester James V. Miranda; Hanyang Zhao; Mohammad Rifqi Farhansyah; Garry Kuwanto; Derry Wijaya; Genta Indra Winata (CoRR, 2025)

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability. - Genta Indra Winata; David Anugraha; Emmy Liu; Alham Fikri Aji; Shou-Yi Hung; Aditya Parashar; Patrick Amadeus Irawan; Ruochen Zhang; Zheng-Xin Yong; Jan Christian Blaise Cruz; Niklas Muennighoff; Seungone Kim; et al. (CoRR, 2025)