一键直达前沿AI论文，arXiv是研究者必备的预印本平台，支持直接获取DPO等最新成果。
arXiv:2606.12881v1 Announce Type: new Abstract: We present an approach to fine-tuning large language models using Direct Preference Optimization (DPO)…
零基础也能让AI用上内网数据，RAG轻松解决LLM知识过时和幻觉难题。
Introduction Large Language Models (LLMs) such as ChatGPT, Gemini, and Claude are incredibly powerful. They can answer questions, generate code, summa…
专为Frappe框架打造的RAG系统，基于TurboVec向量引擎，为ERP系统注入智能检索与生成能力。
Article URL: https://github.com/ssenthilnathan3/turbo_rag Comments URL: https://news.ycombinator.com/item?id=48472271 Points: 1 # Comments: 0
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IT之家 6 月 10 日消息，在本月（2026 年 6 月）补丁星期二活动日，微软面向 Windows 10 系统推送 KB5094127 扩展安全更新， 用户安装后版本号升至 Build 19045.7417；Windows 10 Enterprise LTSC 2021 版升至 Build 1…
将视频中的音频线索与镜头结构结合，用增强多模态大模型精准定位目标时刻，提升检索深度与准确度。
arXiv:2511.14143v2 Announce Type: replace Abstract: Video Moment Retrieval is a task in video understanding that aims to localize a specific temporal …
大语言模型让反洗钱筛查更透明：通过证据检索与反事实检验提升可解释性，直击AI金融风控痛点。
arXiv:2604.19755v2 Announce Type: replace-cross Abstract: Anti-money laundering (AML) transaction monitoring generates large volumes of alerts that mu…
从第一性原理拆解CodeGraph如何满足LLM符号图六个硬条件，验证了框架预测的精准性。
The prior post in this series, Agent Retrieval Is a Cost Curve Problem , argued that a viable LLM-symbol-graph would need to satisfy six specific cond…
让海量Markdown文件活起来，变身可对话的本地知识脑，告别静态数字阁楼
A vault of 3,150 Markdown files is just a very organized digital attic. It’s a repository of every conversation, code snippet, and research rabbit hol…
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…
检索增强结合神经网络的漏洞探索新方法，专攻用户代码与二进制程序的内存损坏分析。
arXiv:2604.17948v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities across various cybers…
本地搜索Claude聊天记录的开源神器，混合检索top-1达68.7%，高效管理超万条消息。
Article URL: https://github.com/luckyrmp/tinderbox-archive Comments URL: https://news.ycombinator.com/item?id=48421160 Points: 2 # Comments: 0
终结LLM上下文泄露：100%精度记忆，告别向量搜索的10%低效。
Article URL: https://tenureai.dev/ Comments URL: https://news.ycombinator.com/item?id=48409678 Points: 4 # Comments: 1
用大模型引导索引优化，突破人-物交互检索的多参数耦合瓶颈，高效又精准。
arXiv:2606.05489v1 Announce Type: new Abstract: Retrieval systems underpin modern AI applications -- spanning visual search, recommendation engines, a…
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arXiv:2606.02973v1 Announce Type: new Abstract: Are utterances by AI chatbots meaningful? Concretely, if a user asks, say, Anthropic's agent Claude, "…
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…
无需额外训练，利用视觉表示引导视频大模型推理，实现组合视频检索，CVPR 2026 workshop 最新成果。
arXiv:2606.02321v1 Announce Type: new Abstract: Recent advances in large vision-language models have expanded video retrieval from simple text-based s…
多模态大模型如何让音频文本检索更贴近真实搜索？这篇论文用Omni-Embed-Audio挑战传统CLAP的局限性。
arXiv:2604.18360v2 Announce Type: replace-cross Abstract: Audio-text retrieval systems based on Contrastive Language-Audio Pretraining (CLAP) achieve …
提出隐式RAG让LLM代理从经验中自主学习，突破传统显式文本检索局限的创新方法。
arXiv:2606.01041v1 Announce Type: new Abstract: Experience learning has achieved promising results in enhancing LLM agent planning and reasoning by in…
ACL 2026新研究，用分布外数据代理解决目标不可访问时的上下文示例检索，显著增强大模型ICL鲁棒性。
arXiv:2606.00014v1 Announce Type: cross Abstract: Although studies have demonstrated that Large Language Models (LLMs) can perform well on Out-of-Dist…
从关键词匹配到语义理解，这篇论文提出针对电商场景的高效语义检索方法，提升搜索结果的相关性与用户体验
arXiv:2606.01504v1 Announce Type: cross Abstract: Semantic retrieval in e-commerce must handle short, noisy, and colloquial queries over large product…