<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>RL on howardatri</title><link>https://howardatri.github.io/tags/rl/</link><description>Recent content in RL on howardatri</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Tue, 04 Aug 2026 13:15:29 +0800</lastBuildDate><atom:link href="https://howardatri.github.io/tags/rl/index.xml" rel="self" type="application/rss+xml"/><item><title>why cot falls short</title><link>https://howardatri.github.io/posts/why-cot-falls-short/</link><pubDate>Tue, 04 Aug 2026 13:15:29 +0800</pubDate><guid>https://howardatri.github.io/posts/why-cot-falls-short/</guid><description>&lt;p&gt;&lt;strong&gt;论文笔记:《Rethinking Reasoning in Document Ranking: Why Chain-of-Thought Falls Short》&lt;/strong&gt; arxiv25&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;作者:&lt;/strong&gt; Xuan Lu, Haohang Huang, Rui Meng, Yaohui Jin, Wenjun Zeng, Xiaoyu Shen
&lt;strong&gt;机构:&lt;/strong&gt; Shanghai Jiao Tong University, Eastern Institute of Technology, Ningbo&lt;/p&gt;
&lt;h3 id="1-研究背景"&gt;1. 研究背景&lt;/h3&gt;
&lt;h4 id="11-问题定义"&gt;1.1 问题定义&lt;/h4&gt;
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&lt;p&gt;文档重排序 (Document Reranking) 是 IR 系统的关键组件，用于精炼检索结果，提升排序质量 。&lt;/p&gt;
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&lt;p&gt;受大型推理模型 (LRMs, 如 DeepSeek-R1, o1) 的启发，近期研究开始将显式的“思维链”(CoT) 推理引入 LLM Reranker 。
via supervised fine-tuning Weller et al. (2025); Ji et al. (2025); Yang et al. (2025) or using reinforcement learning Zhang et al. (2025); Zhuang et al. (2025); Liu et al. (2025).&lt;/p&gt;</description></item><item><title>search-r1</title><link>https://howardatri.github.io/posts/search-r1/</link><pubDate>Sat, 01 Aug 2026 22:02:34 +0800</pubDate><guid>https://howardatri.github.io/posts/search-r1/</guid><description>search-r1论文解读</description></item></channel></rss>