论文精选 65已解读
Discriminative World Models for Web Agents· 网络代理的世界模型
Recent web agents use world models for test-time action selection by sampling candidate ac…
领域：cs.AI作者：Kelvin Li、Dhruv Pendharkar、Anish Pahilajani
📰 AI 研究简报 · 9月4日
今日头条：金融AI的年度大考交卷了：2万名选手、30+家机构、百亿级数据开源 —— 5000支队伍同台做题，写尽行业四年变化
共 71 条预计阅读 43 分钟Token 消耗 127,800
arXiv 最新论文
论文精选 82
User Feedback Provides a Unique Signal that LLMs Can not Detect· 用户反馈的重要性
Harnessing naturally occurring feedback from user interactions offers a promising learning…
领域：cs.CL作者：Shachar Don-Yehiya、Leshem Choshen、Omri Abend
论文精选 65已解读
AI Contextual Measurement for Recovering Individual and Group-Level Effects: Validation Against Survey Measures and an Occupational Application· AI上下文测量框架
Researchers increasingly use artificial intelligence to construct measures of social, orga…
领域：cs.AI作者：Wenxin Jiang、Xuyang Wang、Yuxiao Wu
论文精选 65已解读
Large Language Models (LLMs) for Telecom Root Cause Analysis (RCA): A Structured Reasoning Framework for Evidence-Grounded Diagnosis· LLM 用于电信根因分析
Root cause analysis (RCA) is a critical task in telecom network operations, but diagnosing…
领域：cs.AI作者：Hao Zhou、Mandar Kulkarni、Hao Chen
论文精选 85
DiscoSign: Discourse-Aware Text to Sign Language Gloss Translation· DiscoSign: 面向话语的文本到手语词汇翻译
Sign language processing systems have traditionally operated at the sentence level, ignori…
领域：cs.CL作者：Vasileios Baltatzis、Mert Inan、Connor Gillis
论文精选 65已解读
SafeEvolve: Harness-Policy Co-Evolution from Agent Experience for Safety Alignment· SafeEvolve: 基于代理经验的安全对齐
The performance of LLM-based agents is jointly shaped by the base model and the harness us…
领域：cs.AI作者：Qinghua Mao、Wanying Qu、Dadi Guo
论文精选 82
EarlyEval: Cheaper Agent Evaluation via Early Outcome Prediction· 早期评估：通过早期结果预测降低代理评估成本
Evaluating LLM agents is essential for guiding their development, yet it has grown prohibi…
领域：cs.CL作者：Yuling Shi、Zhensu Sun、Junsen Dong
论文精选 85
HyperStyler: Low-resource Authorship Style Transfer via Context-aware Style Navigation and Hypernetworks· HyperStyler：基于上下文感知风格导航和超网络的低资源作者风格迁移
Low-resource authorship style transfer (LAST) aims to rewrite text into the style of an ar…
领域：cs.CL作者：Jongkyung Shin、Minguk Jeon、Chanwoo Park
论文精选 83
From Reweighting to Rewriting: Unlocking the Intervention Effects of Influential Samples in Training Data Attribution· 从重权到重写：解锁训练数据归因中的干预效应
Training data attribution (TDA) aims to identify training examples that shape model behavi…
领域：cs.CL作者：Yuzhang Luo、Chenpeng Wang、Jianhui Chen
论文精选 65已解读
Measurement-Driven Sub-Network Selection for On-Premise Retrieval-Augmented Factory Agents· 用于工厂代理的测量驱动子网络选择
On-premise assistants can give factory workers conversational access to machine documentat…
领域：cs.AI作者：Vasileios Rizeakos、Georgios Paisios、Alexandros Machairas
论文精选 65已解读
Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Agent LLM Systems· 多智能体LLM系统的双层协调反射
Multi-agent LLM systems commonly use an orchestrator to decompose a task for a team of wor…
领域：cs.AI作者：Yihang Chen、Yuxiang Chen、Yuxuan Huang
论文精选 65已解读
Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills· GitHub 仓库到 AI 技能
Autonomous agents are beginning to carry out machine-learning (ML) research end to end. Th…
领域：cs.AI作者：Jianlyu Chen、Yuyang Hu、Hongjin Qian
论文精选 65已解读
Door-in-the-Face Requests and Refusal Behaviour in Large Language Models· 大型语言模型中的门面拒绝行为
Does the door-in-the-face technique work on language models? In humans, a large request th…
领域：cs.AI作者：Til Jordan
论文精选 65已解读
Loom: Weaving Diagnostic Strands into Free-Text Consensus via Embedding-Space Reweighting· Loom：通过嵌入空间重加权将诊断信息编织成自由文本共识
Aggregating noisy, conflicting textual hypotheses into a reliable consensus is a fundament…
领域：cs.AI作者：Ron Begleiter、Katya Egert Berg、Gilad Saban
论文精选 65已解读
Collective creativity in hybrid societies· 混合社会中的集体创造力
Generative AI is changing how cultural artifacts are created and circulated, and with it o…
领域：cs.AI作者：Mason Youngblood、Katie Mudd、Manuel Anglada-Tort
论文精选 65已解读
CivBench: A Long-Horizon Benchmark for Tool-Mediated Agents in Civilization VI· CivBench：文明VI中工具媒介代理的长期基准测试
We present CivBench, an open-source benchmark for evaluating language model agents in long…
领域：cs.AI作者：Austin Tudor David Andrews、Liam Wilkinson、Jamie Heagerty
论文精选 65已解读
UTP-Bench: Uncertainty-aware Travel Planning Benchmark· UTP-Bench: 面向不确定性的旅行规划基准
Large Language Models (LLMs) have recently demonstrated strong capabilities in automated t…
领域：cs.AI作者：Etcharla Revanth Rao、Priyanshu Karmakar、Shubhojit Mallick
论文精选 83
Contrastive Explanations in Quantitative Bipolar Argumentation Frameworks· 量化双向论证框架中的对比解释
Argumentation frameworks are useful tools for representing and reasoning with information …
领域：cs.AI作者：Xiang Yin、Nico Potyka、Antonio Rago
论文精选 82
Diagnosing with Insights: Structured Analysis of Agent Failures via Behavioral Abstractions· 通过行为抽象结构化分析代理失败
With the proliferation of LLM agents, the ability to understand and diagnose failures in a…
领域：cs.AI作者：Jiayi Bi、Yanjie Gao、Yuanmin Xie
论文精选 82
SALA: Semantic-Aware Logical Alignment for Complex Reasoning in In-Context Learning· SALA：用于复杂推理的语义感知逻辑对齐
Effective in-context learning (ICL) for complex reasoning relies on selecting the right de…
领域：cs.AI作者：Zhao Ji、Wenqing Chen、Zhixuan Chu
论文精选 82
Improving Evaluation Realism with Inference-Time Compute and Deployment Scaffolds· 用推理时间和部署支架改善评估现实主义
A core obstacle to alignment evaluation is evaluation awareness: capable models can tell w…
领域：cs.AI作者：Axel Ahlqvist、Richard Guan、Juan-Pablo Rivera
论文精选 82
SCX Router: Streaming Zero-Shot Model Selection with a Decoder-KV Classifier and a Real-World Task Ontology· SCX Router: 流式零样本模型选择
The rapid proliferation of large language models (LLMs) and the growing diversity of their…
领域：cs.AI作者：Ihor Stepanov、Aleksandr Smechov、Mykhailo Shtopko
论文精选 82
CoMerge: Conflict-Driven Preference Optimization for Multi-Task Model Merging· CoMerge: 多任务模型合并的冲突驱动偏好优化
Model merging provides an efficient paradigm for constructing multi-task large language mo…
领域：cs.AI作者：Mingjie Zheng、Zihao Chen、Wenqing Chen
论文精选 82
Codebook Agent: Amortized Topology Design for LLM Multi-Agent Systems· Codebook Agent：LLM多代理系统通信拓扑设计
Adapting the communication topology of an LLM multi-agent system to each query improves bo…
领域：cs.AI作者：Jinxi Yu、Yubei Li、Eric Hanchen Jiang
论文精选 83
APEx: Distillation of Agent Procedural Experience for Adaptive Deep Research Question Answering· 代理程序经验蒸馏适应性深层研究问答
Deep research agents augment large language models with external tools to answer complex, …
领域：cs.AI作者：Jie Ding、Rui Sun、Xinyuan Zhang
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2akouwu/reverify· 2akouwu/reverify: AI抗幻觉工具
Anti-hallucination for AI agents that read binaries. The model proposes, deterministic too…
⭐ 757 stars语言 Python
开源项目精选 82
AbuZar-Ansarii/Needle· AbuZar-Ansarii/Needle
This 14 MB Agentic LLM(Cactus Needle 2) can control your phone completely.
⭐ 63 stars语言 Python
开源项目精选 82
RNetworks2019/fine-tuning-playground· 2026大模型微调指南
Mastering LLM Fine-Tuning in 2026: A Practical Guide from Hugging Face Basics to Productio…
⭐ 55 stars语言 HTML
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gulingguinxling-del/Motion-Form-Feedback· AI 虚拟健身教练：OpenCV 与 MediaPipe 实时动作反馈
AI Virtual Gym Trainer 2026: OpenCV & MediaPipe Rep Counter with Real-Time Form Feedback
⭐ 55 stars语言 HTML
精选 AI 行业资讯
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Google’s Gemini Spark can now manage your Google Photos library· Gemini Spark 可管理 Google Photos 相册
Gemini Spark can edit and curate photo albums, create shared collections, turn photos into…
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打穿 AI 智商测试！GPT-6 Astra 的符号世界模型，是突破还是钞能力刷分？
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谁在为人形机器人铺「全开源生态」？
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全生态物理 AI 落地，小米的主场攻防战
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趋境科技与摩尔线程达成战略合作，高品质 AI Token 国产异构方案性价比超越国际先进算力
国产卡跑出高品质 AI Token 生产级性能
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机器人不能停下来等模型：星尘发布 SmoothRL，让在线强化学习跟上大模型的异步推理
星尘智能（Astribot） 基座模型团队发布能异步执行的在线强化学习框架 SmoothRL
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ScienceDiscovery实现树搜索驱动RSI，加速科学发现，小时级写出通用积分器，低成本找出物理科学规律
不训练模型、不调参数
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完成4000万美金融资，ACE成为AI音乐赛道融资额最高的华人团队
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云鲸2026秋季全球品牌发布会：以用户为原点，探索智能清洁的下一个十年
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IDC首次发布零售云份额报告：腾讯云解决方案市场居首
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金融AI的年度大考交卷了：2万名选手、30+家机构、百亿级数据开源
5000支队伍同台做题，写尽行业四年变化
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李飞飞刚发Atlas，中国开源“同款”已抢跑半年？
智能不只是模式识别，更是对世界的建模
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千问办公上线首月用户数突破 3000万，企业用户占比过半
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The sameness problem behind those unappetizing AI-generated menus· AI生成菜单的问题
While restaurant owners might look to generative AI as a shortcut to sprucing up their men…
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具身智能落地的最后20%，藏在「云」里
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卡车自动驾驶里程超10亿公里，嬴彻科技定义“货运物理AI”· 卡车自动驾驶里程超10亿公里，嬴彻科技定义“货运物理AI”
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Accel reportedly in talks to lead $1B round for Thinking Machines at $40B valuation
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Safety overview: GPT-6 Astra
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