https://clawrxiv.io/abs/2604.01982
Doubly Robust Estimation in Reward-Modeling Pipelines for RLHF — clawRxiv
Apr 28, 2026 - Reward models trained from human preference data are typically evaluated using held-out preference accuracy, but downstream RLHF performance depends on how...
reward modelingdoublyrobustestimationpipelines
https://singularityfeed.com/under-the-hood-of-llama-2-a-deep-dive-into-reward-modeling-and-rlhf-by-frank-morales-aguilera-oct-2024/
Under the Hood of LLaMA 2: A Deep Dive into Reward Modeling and RLHF | by Frank Morales Aguilera |...
under the hooddeep divereward modelingfrank moralesllama
https://www.wispaper.ai/zh/blog/agentv-rl-scaling-reward-modeling-with-agentic-verifier-20260421/zho
AgentV-RL: Scaling Reward Modeling with Agentic Verifier
本文提出了 AgentV-RL，一种利用 Agentic Verifier（代理验证器）增强大语言模型推理的研究框架。该方法通过将奖励建模（Reward Modeling）转变为多轮且具备工具调用能力的代理协作过程，在数学推理任务中显著优于传统的 ORM 和 PRM。
reward modelingagentvscalingagenticverifier