新基准IsoSci通过同构跨领域科学问题，精准区分大模型的推理能力与知识检索水平。
arXiv:2607.01431v1 Announce Type: cross Abstract: We introduce ISOSCI, a benchmark of isomorphic cross-domain science problem pairs that separates rea…
将大模型与视觉代码补全结合，专为航空航天几何设计场景优化，开辟了AI辅助工程的新路径。
arXiv:2606.16806v1 Announce Type: new Abstract: Recent advances in both Large Language Models (LLMs) and Vision Language Models (VLMs) have seen a ste…
从杂乱交互日志中提取可解释工作流，跨越领域洞悉用户真实行为模式
arXiv:2606.14654v1 Announce Type: new Abstract: Sequential or time-stamped interaction logs provide objective records of digital application usage, ye…
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…
跨领域视听欺骗检测基准研究，首次系统评估不同场景下的模型泛化能力。
arXiv:2405.06995v4 Announce Type: replace-cross Abstract: Automated deception detection is crucial for assisting humans in accurately assessing truthf…
从任意文本、图像等多模态来源一键生成专业海报，跨领域适用，省去设计时间
arXiv:2606.02915v1 Announce Type: new Abstract: Visual posters are a compact medium for communicating dense information, yet progress on automatic pos…
一种新颖的反思式策略自蒸馏方法，让语言模型通过自我反思实现跨领域推理能力提升，无需人工标注。
arXiv:2605.28014v1 Announce Type: cross Abstract: On-policy self-distillation (OPSD) improves the reasoning performance of large language models (LLMs…
跨领域离线强化学习新方法，用对齐贝尔曼备份解决域间转移难题。
arXiv:2605.22376v1 Announce Type: new Abstract: Cross-domain offline reinforcement learning (CDRL) aims to improve policy learning in a target domain …
ICML 2026新方法：用重要性-多样性数据选择提升Web智能体跨域泛化能力
arXiv:2605.20291v1 Announce Type: new Abstract: Large language models (LLMs) have enabled web agents that follow natural language goals through multi-…
AI在数学中展现“原始思考”，跨子域建立惊人联系，刷新对机器创造力的认知
Nature, Published online: 19 May 2026; doi:10.1038/d41586-026-01553-1 Thanks to some surprising advances, mathematicians are starting to realize that …
统一API实现文本参数优化，单LLM系统跨领域媲美专业工具，无需定制即可高效搜索
arXiv:2605.19633v1 Announce Type: cross Abstract: Can a single LLM-based optimization system match specialized tools across fundamentally different do…
利用化学结构-活性分析，实现跨领域分子关系学习，突破传统只关注单一领域的局限。
arXiv:2605.16799v1 Announce Type: new Abstract: Recent advances in molecular representation integrates molecular topological and visual modalities, op…