arXiv 2610.17771 · cs.CL · 2026-10-13
Many Right Answers, One Training Example: Removing Responder Noise from GRPO for LLM Recommenders
Xin Li, Hao Jiang, Jinghao Guo, Weisi Lin, Chau Yuen
Nanyang Technological University
In latest · #259 Added on 2026-10-21
One-line takeaway
ReMaRk scores recommendation lists against the union of all replies, removing responder noise from GRPO training of LLM recommenders.
ReMaRk 让大模型推荐器的 GRPO 训练对所有回复的并集打分，消除随机抽一个回复带来的噪声。
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Topics & disciplines
More on Reinforcement learning
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About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
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