智能体不再依赖自然语言，直接在潜在空间高效沟通，突破传统交互瓶颈。
arXiv:2511.09149v5 Announce Type: replace-cross Abstract: While natural language is the de facto communication medium for LLM-based agents, it present…
阿里摘得ACL 2026最佳资源论文奖，以Agent评测新范式突破AI前沿，国内独一份。
用进化算法迭代精炼价值，提升大模型解码质量，被ACL 2026接收的前沿研究。
arXiv:2503.02368v4 Announce Type: replace-cross Abstract: While guided decoding, especially value-guided methods, has emerged as a cost-effective alte…
长文本RAG面临虚假信息污染威胁，MIRAGE框架提出新防御策略，为生成可信长答案提供安全屏障。
arXiv:2607.05069v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) improves factuality by grounding LLMs in external evidence, but r…
新方法STAPO：选择性轨迹感知策略优化，提升LLM智能体训练效率与性能
arXiv:2607.04963v1 Announce Type: new Abstract: Reinforcement Learning (RL) is the dominant paradigm for training Large Language Model (LLM) agents on…
引入约束感知强化学习，让LLM规划不再“天马行空”，ACL 2026最新研究。
arXiv:2607.04854v1 Announce Type: new Abstract: Despite their strong reasoning capabilities and extensive world knowledge, Large Language Models (LLMs…
高性能跨平台 RDF 1.2 工具包，支持 SPARQL、SHACL、ShEx 并通过 W3C 测试套件，语义网开发利器
Article URL: https://github.com/Blackcat-Informatics/purrdf/ Comments URL: https://news.ycombinator.com/item?id=48766069 Points: 1 # Comments: 1
自动化生成可定制Web环境，为GUI Agent训练提供无限规模、高保真交互场景。
arXiv:2601.04126v3 Announce Type: replace-cross Abstract: GUI agents that interact with graphical interfaces on behalf of users represent a promising …
首个评估大模型逻辑谬误鲁棒性的基准，揭示LLM在诡辩面前的漏洞，被ACL 2026收录。
arXiv:2606.31039v1 Announce Type: new Abstract: Large Language Models (LLMs) exhibit strong semantic capabilities, yet their resilience to manipulativ…
探究数据混合与模型架构对非洲语言持续预训练的影响，为低资源语言建模提供前沿实证与设计指南。
arXiv:2601.06395v3 Announce Type: replace Abstract: Large language models (LLMs) are increasingly multilingual, yet open models continue to underperfo…
LLM生成故事的角色多样性研究，ACL 2026论文揭示模型角色生成规律。
arXiv:2606.22454v1 Announce Type: cross Abstract: As LLM-generated text is increasingly used, especially in fictional domains, we explore how much LLM…
2026年科技巨头因AI裁员持续发酵，Oracle削减2.1万员工占13%，揭露AI替代人力加速的产业真相。
A running look — in reverse chronological order — at the bigger tech companies that have announced significant layoffs this year with AI as a stated f…
新方法量化LLM在上下文学习中的偶然不确定性，提升预测置信度的鲁棒性，已被ACL 2026接收。
arXiv:2606.19353v1 Announce Type: cross Abstract: In-Context Learning (ICL) allows LLMs to adapt to new tasks from a few demonstrations, but its relia…
多语言数学推理中，LLM参数共享还是分离更优？这项ACL 2026研究给出了实验性答案。
arXiv:2606.18453v1 Announce Type: new Abstract: Large language models (LLMs) exhibit substantial cross-lingual variation in mathematical reasoning per…
Oracle押注AI基建，背后债务风险悄然累积——深度拆解科技巨头的“借债追风”隐患
Article URL: https://www.inc.com/fast-company-2/oracle-ai-boom-hidden-debt-nvidia-jensen-huang/91357055 Comments URL: https://news.ycombinator.com/ite…
多语言机器生成文本的作者归属研究，ACL 2026 主会论文，为检测 AI 文本提供新思路。
arXiv:2508.01656v2 Announce Type: replace-cross Abstract: As Large Language Models (LLMs) have reached human-like fluency and coherence, distinguishin…
新基准WildIFEval带你从实验室走进真实世界的指令跟随能力评估
arXiv:2503.06573v3 Announce Type: replace-cross Abstract: Recent LLMs have shown remarkable success in following user instructions, yet handling instr…
用小语言模型低成本搞定生物医学声明验证，揭秘结构化数据集捷径与跨域泛化新发现。
arXiv:2606.12854v1 Announce Type: new Abstract: Large Language Models such as GPT-4o and GPT-5 achieve strong zero-shot performance on biomedical clai…
ACL 2026收录论文：系统提出语言模型在开放任务中创造力的自动化评估方法，填补量化空白。
arXiv:2606.11762v1 Announce Type: cross Abstract: Large language models (LLMs) have achieved remarkable progress in language understanding, reasoning,…
在Oracle云上用现有承诺直接跑OpenAI模型和Codex，企业级安全治理一步到位。
Access OpenAI models and Codex through Oracle Cloud, using existing commitments to build and deploy AI with enterprise security and governance.