利用强化学习与LLM反馈优化RAG重排序器，解决静态标注与生成脱节的关键难题。
arXiv:2604.02091v2 Announce Type: replace-cross Abstract: Rerankers play a pivotal role in refining retrieval results for Retrieval-Augmented Generati…
推翻重排序必有益的假设，提出无训练门控机制：只有不确定性高时再重排序，反而提升性能。
arXiv:2606.31087v1 Announce Type: cross Abstract: Few-shot selection typically assumes that reranking retrieved examples always improves performance. …
首次公开多轮RAG端到端强基线：用LLM重排序+忠诚度控制，在SemEval-2026上验证有效性。
arXiv:2606.28737v1 Announce Type: new Abstract: We introduce 5ting, our system for the SemEval2026 Task 8 (MTRAGEval), which evaluates multi-turn Retr…
多模态大语言模型如何提升行人重识别的泛化能力？本文提出全新重排序框架，为计算机视觉领域带来突破性思路。
arXiv:2606.16161v1 Announce Type: new Abstract: Domain Generalizable (DG) person re-identification (Re-ID) has attracted growing research interest due…
经典RAG与Agentic RAG优劣对比，帮你避开“检索坑”做出明智选择
"Should I use RAG or an agent?" comes up in almost every LLM project I work on. The honest answer is that they are not competing choices. Classical RA…
用LLM辅助推荐系统重排序，实现更细致的目标优化，论文来自arXiv 2606.02883。
arXiv:2606.02883v1 Announce Type: cross Abstract: Recommender systems have grown from content-organization tools into sophisticated systems that shape…
探索LLM重排序器如何自我预测排序性能，挑战模型自省边界的新研究。
arXiv:2606.03535v1 Announce Type: cross Abstract: Retrieval effectiveness varies substantially across queries, making it important to estimate ranking…
利用大语言模型离线生成OCEAN人格画像，实现视频点播实时重排，精准提升推荐效果
arXiv:2605.27429v1 Announce Type: cross Abstract: Industrial video-on-demand (VOD) recommenders need richer content understanding, but LLM-as-reranker…
评估大语言模型在重排序任务中的推理可靠性，揭示其当前能力上限与潜在风险
arXiv:2508.18444v2 Announce Type: replace-cross Abstract: With the improving semantic understanding capability of Large Language Models (LLMs), they e…
生物医学实体链接新突破：利用生成式重排序提升实体匹配精度，已被SIGIR 2026接收。
arXiv:2605.22501v1 Announce Type: new Abstract: Despite recent progress, Biomedical Entity Linking (BEL) with large language models (LLMs) remains com…
自监督学习新方法优化稀疏矩阵重排序，大幅提升计算效率，已被DASFAA 2026接收。
arXiv:2605.17403v1 Announce Type: new Abstract: Rearranging the rows or columns of a sparse matrix using an appropriate ordering can significantly red…