#Reward-modeling

bobxwu

learning-from-rewards-llm-papers

A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward models and learning strategies across training, inference, and post-inference stages.

hscspring

rl-llm-nlp

Curated, opinionated index of post-R1 LLM × Reinforcement Learning. Many deep-dive blog posts cross-linked to many papers — GRPO, DAPO, DPO, PPO, RLHF, GSPO, CISPO, VAPO, Reward Modeling, MoE RL stability, Verifier-Free RL, Training-Free RL, Agentic RL, DeepSeek-R1 reproduction.

Jialuo-Li

Science-T2I

[CVPR 2025] Science-T2I: Addressing Scientific Illusions in Image Synthesis

quanshr

DMoERM

[ACL2024 Findings]DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling