多数AI平台尚未确认支持llms.txt，但2026年数据显示：花20分钟部署它，是给未来agent路由留的廉价选择，别过度押注。
Article URL: https://geojacker.com/llms-txt Comments URL: https://news.ycombinator.com/item?id=49351232 Points: 6 # Comments: 2
不反AI，却对AI发展顾虑重重——一文说清你心里那些说不出的“QUALLMS”。AI浪潮下，值得每个人冷静读一读的清醒视角。
Article URL: https://cholling.com/posts/quallms/ Comments URL: https://news.ycombinator.com/item?id=49249037 Points: 4 # Comments: 0
针对全模态大模型，提出基于技能驱动的token压缩预算分配方法OmniDelta，提升效率保留关键信息。
arXiv:2607.25669v1 Announce Type: new Abstract: Emerging Omni-modal Large Language Models (OmniLLMs) enable unified understanding of text, audio, and …
资深程序员求教LLM编程入门，社区讨论含金量极高，初学者的宝藏贴。
Inspired by LLMs lately becoming (terrifyingly) capable, and my new work project being no longer fun, I wanted to ask: how should I (or anyone experie…
用 llms.txt 渐进式披露模式为架构文档和决策记录赋能 AI Agent，让编译出的代码更一致、更可靠。
I'm a fan of using the llms.txt pattern of progressive disclosure for internal app documentation. Agents just produce more consistent code with these.…
无需训练的dLLMs推理加速方法，用草稿引导连续跳跃解码，提升效率且保持质量
arXiv:2607.20467v1 Announce Type: new Abstract: While parallel decoding is central to the efficiency of Diffusion Large Language Models (dLLMs), curre…
揭秘Transformer大模型如何像人类一样解决算术问题，并展示用人类策略进行模型调优的路径。
arXiv:2607.17166v1 Announce Type: new Abstract: Transformer-based large language models (LLMs) continue to achieve state-of-the-art performance across…
用llms.txt文件让本地商户信息被AI代理轻松抓取，提升线上可见度，小创新带来大价值。
Article URL: https://www.kloofstreet.online/ Comments URL: https://news.ycombinator.com/item?id=48967666 Points: 1 # Comments: 3
TF-IDF vs 神经嵌入：LLMSlim 如何用微秒级延迟实现确定性提示压缩，架构决策值得一看。
Most prompt compression discussions focus on the happy path: you have a long RAG context, you trim it to 50% of tokens, and your API bill halves. What…
让邮件API原生适配AI智能体：统一端点、llms.txt与零DNS沙箱发送器。
Most APIs are "agent-compatible": an agent can call them. Far fewer are agent-native : an agent can accomplish the whole job on its own, with no human…
探究大语言模型在结构化CBT情感推理中的局限性，发现其虽能流畅回应却陷入无效验证模式。
arXiv:2607.02885v1 Announce Type: cross Abstract: Cognitive Behavioral Therapy (CBT) provides a structured framework for understanding a user's mental…
开源模型能否解释闭源模型？这篇论文探讨替身保真度的条件与边界。
arXiv:2606.32008v1 Announce Type: new Abstract: Mechanistic interpretability (MI) requires full access to model internals, yet the APIs for most widel…
llms.txt标准提案让网站为AI Agent提供精简信息，实现更高效的交互与数据获取。
If you’ve spent any time poking around the AIE World’s Fair 2026 website, you may have come across the llms.md page. If you’ve clicked the link, you m…
无需训练就能用不确定性指导复杂视觉任务，MLLMs新方法提升多模态模型可靠性。
arXiv:2510.00705v3 Announce Type: replace Abstract: Multimodal Large Language Models (MLLMs) often struggle with fine-grained perception, such as iden…
多模态大模型实时指导拍照，让摄影新手也能拍出专业级照片。
arXiv:2606.25763v1 Announce Type: new Abstract: Real-world photography requires capture-time guidance for both camera framing and subject pose. Yet ex…
针对MLLMs视觉STEM感知难题，CodePercept创新引入代码接地机制，为多模态理解开辟新路径，已被CVPR2026收录。
arXiv:2603.10757v2 Announce Type: replace Abstract: When MLLMs fail at Science, Technology, Engineering, and Mathematics (STEM) visual reasoning, a fu…
用结构先验强化大模型处理表格数据预测，一项提升LLM表格推理能力的创新方法。
arXiv:2510.17385v5 Announce Type: replace-cross Abstract: Tabular prediction has long been dominated by gradient-boosted decision trees and specialize…
多模态大模型持续学习基准够用吗？ICML 2026 Workshop论文深度剖析现有评估体系的不足。
arXiv:2606.20961v1 Announce Type: cross Abstract: Continual adaptation is essential for multimodal large language models (MLLMs) deployed across evolv…
用大模型学bug上下文，精准提升PyTorch到JAX代码翻译的鲁棒性。
arXiv:2510.09898v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have shown strong performance on code translation between widel…
视频大语言模型是否真的需要音频？这篇被Interspeech 2026接收的研究给出了基准审计与可扩展修复方案。
arXiv:2509.17901v4 Announce Type: replace Abstract: Speech and audio encoders developed over years of community effort are routinely excluded from vid…