全新多领域科学代码搜索数据集及基准发布，填补代码检索领域空白
arXiv:2607.05443v1 Announce Type: cross Abstract: Scientists increasingly rely on open-source tools to support their research workflows, yet discoveri…
最新研究揭示：LLM作为物理评估裁判的有效性，更取决于具体任务而非模型本身，挑战了AI评判的通用性假设。
arXiv:2603.14732v2 Announce Type: replace-cross Abstract: As large language models (LLMs) are increasingly considered for automated assessment and fee…
访问arXiv论文库中的最新技术报告，快速获取扩散模型从左到右生成的前沿研究，学术必备
arXiv:2606.11552v1 Announce Type: cross Abstract: Large language models (LLMs) achieve remarkable performance across a wide range of tasks, but their …
通过游戏化实验探索人类与AI协作写作的边界，反乌托邦设定+74人参与，揭示AI从人类残存中学习的动态博弈。
arXiv:2606.12350v1 Announce Type: new Abstract: The rapid proliferation of large language models (LLMs) raises critical questions about human creativi…
深入评估PlanGPT性能指标，与专业规划器对比，揭示大模型在规划任务中的真实表现与差距。
arXiv:2606.10489v1 Announce Type: new Abstract: Automated Planning is a subfield of Artificial Intelligence (AI) where the main objective is generatin…
基于最新经济学研究，用“弱链接”视角解析AI进步曲线与自动化极限
Article URL: https://howfastis.ai/ Comments URL: https://news.ycombinator.com/item?id=48450052 Points: 1 # Comments: 0
最新研究揭示：AI分析体育比赛表现远逊人类，准确率几乎靠猜，体育主播饭碗暂时安全
IT之家 6 月 6 日消息，据外媒 Futurism 今天（6 日）晚间报道，北卡罗来纳大学教堂山分校和美国东北大学研究人员的一项新研究发现，主流 AI 模型在分析职业体育比赛时 表现很差 。这项研究目标是考察热门 AI 模型在感知、推理、模拟和自主行动能力四个方面的表现，现有测试方法很难准确评估…
系统揭示开源大模型在不同伦理领域的安全行为差异，直指透明度缺口与合规不可预测性
arXiv:2606.04035v1 Announce Type: cross Abstract: We present a systematic study of domain-dependent safety behavior in open-weight LLMs: 7 standardize…
多智能体框架将AI实证能力延伸到人文学科，让基于证据的学术研究更智能、更开放。
arXiv:2605.30947v1 Announce Type: new Abstract: LLM-based research agents have advanced rapidly in science and engineering, where research is organize…
LLM作为安全评估者存在系统性不一致：跨越不同安全标准和危害类别时的分歧模式揭示了AI对齐评估的脆弱性。
arXiv:2605.31381v1 Announce Type: new Abstract: We evaluate the consistency of automated judges in conducting a multi-dimensional safety evaluation in…
探究大语言模型在中文零代词理解上的能力边界，一项针对中文语法特殊现象的前沿研究。
arXiv:2605.31056v1 Announce Type: new Abstract: Zero Pronouns (ZPs) are a pervasive linguistic phenomenon in pro-drop languages such as Chinese and ha…
这份peer-reviewed研究首次揭示读者对AI生成与人类原创意大利短篇小说的真实偏好，数据驱动结论值得关注。
arXiv:2601.17363v2 Announce Type: replace-cross Abstract: This study investigates whether readers prefer AI-generated short stories in Italian over on…
这篇论文探讨低资源场景下AI基准测试的局限，主张超越排行榜，对AI评估有深刻见解。
arXiv:2605.28508v1 Announce Type: new Abstract: Existing AI evaluation practices often fail to capture how systems actually perform in low-resource en…
一键直达CVPR前沿研究，免费下载VLM引导自主探索论文全文PDF
arXiv:2605.23165v1 Announce Type: cross Abstract: Autonomous robotic exploration of unknown and hazardous environments, a long-standing challenge, can…
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Article URL: https://link.springer.com/article/10.1007/s11227-026-08559-6 Comments URL: https://news.ycombinator.com/item?id=48253584 Points: 1 # Comm…
发现AI在协作中会因情境因素刻意迎合人类，降低决策质量，AI素养干预能有效扭转这一隐藏成本。
arXiv:2605.18372v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are increasingly used in educational settings as interactive to…
针对研究的无幻觉问答系统，ACL-Verbatim论文提出消除大模型幻觉的全新方法，学术价值高。
arXiv:2605.21102v1 Announce Type: new Abstract: Academic researchers need efficient and reliable methods for collecting high-quality information from …
最新研究系统对比LLM智能体在硬件感知代码优化中依赖先验知识还是搜索策略，揭示两者优劣边界
arXiv:2605.19782v1 Announce Type: cross Abstract: LLM discovery and optimization systems are increasingly applied across domains, implementing a commo…
大模型驱动的生成式AI正颠覆传统文献综述流程，摘要、问答、数据提取等能力让科研效率起飞。
arXiv:2605.16475v1 Announce Type: cross Abstract: Generative artificial intelligence (GenAI), based on large-language models (LLMs), such as ChatGPT, …
颠覆传统认知：语音克隆本质是风格迁移，斯坦福团队用新视角重新定义技术边界。
arXiv:2605.16578v1 Announce Type: cross Abstract: Artificially generated speech is increasingly embedded in everyday life. Voice cloning in particular…