1
Reward Modeling for Multi-Agent Orchestration
多智能体协作的奖励建模新方法，为复杂编排任务提供理论框架。
arXiv:2606.13598v1 Announce Type: new Abstract: Multi-Agent Systems (MAS) built on Large Language Models (LLMs) require effective orchestration to coo…
2
PAFO: Pareto Fairness Optimization for Personalized Reward Modeling
提出Pareto公平性优化框架，解决个性化奖励建模中的多目标冲突，实现更公平的AI对齐
arXiv:2606.07988v1 Announce Type: new Abstract: Large language models (LLMs) increasingly rely on reward models to align their outputs with diverse us…
3
Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling
多模态大模型当评委也会“看走眼”？本文提出感知扰动+奖励建模来纠正偏见，实验数据扎实。
arXiv:2606.02578v1 Announce Type: cross Abstract: Recent multimodal large language models have demonstrated strong reasoning ability, yet their reliab…
4
VRPRM: Process Reward Modeling via Visual Reasoning
通过视觉推理提升过程奖励建模精度，为复杂任务训练提供新思路。
arXiv:2508.03556v3 Announce Type: replace Abstract: Process Reward Model (PRM) is widely used in the post-training of Large Language Model (LLM) becau…