把代码修复变成“看图找茬”，用结构化视觉推理定位缺陷，AI编程新思路。
arXiv:2602.06090v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have recently been applied to Automated Program Repair (APR), y…
无需人工标注，DocArena把原始文档变成可控训练场，让文档搜索代理练出更强检索能力，值得关注。
arXiv:2606.26122v1 Announce Type: new Abstract: Recent methods train search agents via reinforcement learning from (question, answer, evidence) tuples…
自动吉他转录速度预测新研究，为音乐信号处理提供前沿参考
arXiv:2606.24912v1 Announce Type: cross Abstract: Automatic Music Transcription (AMT) models have achieved a high level of success in polyphonic trans…
融合模糊模型无关解释与LLM智能体交互，打造透明可解释的控制框架，为复杂系统决策提供新思路。
arXiv:2606.25941v1 Announce Type: cross Abstract: Increasing demand for precise and reliable control in complex scenarios has led to the development o…
查论文、下PDF，全球科研人都在用的AI预印本库，最新成果第一时间掌握。
arXiv:2606.22702v1 Announce Type: new Abstract: Traditional supervised methods for structured visual recognition tasks -- such as object detection, se…
把视频模型当先验来画顺序素描，跨界思路让生成更连贯自然。
arXiv:2602.15819v2 Announce Type: replace Abstract: Sketching is inherently sequential: strokes are drawn progressively to explore and refine ideas. Y…
法律AI的幻觉问题有新解！提出类型化幻觉审计与校准多智能体辩论框架，为可信法律AI提供可量化评估方法。
arXiv:2606.18021v1 Announce Type: new Abstract: AI systems deployed in legal workflows hallucinate at rates that aggregate metrics report at ~52%, but…
大语言模型如何精准识别钓鱼邮件？新论文揭秘AI安全防线新突破。
arXiv:2512.10104v2 Announce Type: cross Abstract: Email phishing is one of the most prevalent and globally consequential vectors of cyber intrusion. A…
长对话中动态修剪上下文，大幅提升LLM效率与性能，看完直呼“省省你的token”！
arXiv:2601.07994v5 Announce Type: replace Abstract: Large Language Models (LLMs) increasingly operate over long-form dialogues with frequent topic shi…
一键直达最新强化学习论文，了解FLAG流策略与潜在增强引导方法，适合AI研究者快速获取前沿成果。
arXiv:2605.30749v1 Announce Type: new Abstract: Maximum entropy reinforcement learning (MaxEnt-RL) enables robust exploration, yet practical implement…
用条件信息增益(CIG)驱动智能体探索，为强化学习探索策略提供新思路。
arXiv:2605.20878v1 Announce Type: new Abstract: Intrinsic rewards for exploration in reinforcement learning condition on different contexts: lifelong …