让AI在潜空间里“默想”而非逐字推演，这项研究颠覆了传统思维链范式
arXiv:2412.06769v4 Announce Type: replace Abstract: Large language models (LLMs) are typically constrained to reason in the language space, where they…
投影器成训练核心？这篇论文挑战传统微调范式，或为高效训练提供新思路。
arXiv:2608.19726v1 Announce Type: cross Abstract: The typical training process of a multimodal large language model (MLLM) involves adapting both the …
扩散模型如何“想象”并验证实体类型？这项前沿研究为知识图谱语义识别带来新思路。
arXiv:2608.03025v3 Announce Type: replace Abstract: Multimodal named entity recognition (MNER) determines whether each candidate span and entity-type …
Transformer诞生九年后，一批初创公司正押注LLM的下一场革命，看懂前沿风向就看这篇。
MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to give you a first look at the future. You can read the …
提出一种自监督语义扩散方法，让技能像参数一样被训练与迁移，为AI技能学习开辟新思路。
arXiv:2607.27557v1 Announce Type: new Abstract: While Large Language Models (LLMs) demonstrate remarkable general instruction-following capabilities, …
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arXiv:2607.16900v1 Announce Type: new Abstract: Training API-calling large language model (LLM) agents demands massive amounts of high-quality traject…
OpenAI推出GPT-5.6，最新模型性能升级，支持更复杂推理任务
https://deploymentsafety.openai.com/gpt-5-6/gpt-5-6.pdf https://developers.openai.com/api/docs/guides/latest-model Comments URL: https://news.ycombina…
测试时计算新范式：TTHE方法让模型在推理阶段自我进化，无需重新训练。
arXiv:2607.08124v1 Announce Type: cross Abstract: The behavior of an LLM agent is determined not only by the underlying model, but also by its harness…
多模态3D高斯预训练新框架，融合视觉与几何信息，为三维场景理解开辟新路径。
arXiv:2607.05906v1 Announce Type: new Abstract: 3D Gaussian Splatting provides an explicit representation that jointly models geometry and appearance,…
聚焦智能体任务，提出以对象为中心的新颖环境建模方法，提升复杂场景下的感知与推理能力。
arXiv:2607.02846v1 Announce Type: new Abstract: Large language model (LLM) agents can improve through accumulated experience, but free-form textual me…
从逼近到涌现，为深度学习提供统一理论框架，AI研究者必读的硬核前沿。
arXiv:2607.01311v1 Announce Type: new Abstract: Deep learning has outgrown any single mathematical explanation. From Approximation to Emergence develo…
AI的寓言还在续写，Zvi带你拆解最新进展与深层影响，值得花时间细读。
Article URL: https://thezvi.substack.com/p/ai-175-the-fable-continues Comments URL: https://news.ycombinator.com/item?id=48766952 Points: 2 # Comments…
免费获取最新AI论文预印本，一键检索和阅读前沿研究，是科研工作者跟踪学术动态的高效利器。
arXiv:2606.28739v1 Announce Type: new Abstract: Large language models increasingly act as agents: they call tools, move money, delete records, and sen…
可扩展的强化学习训练框架LiteResearcher问世，专为深度研究智能体打造，效率与性能双提升。
arXiv:2604.17931v3 Announce Type: replace Abstract: Reinforcement Learning (RL) has emerged as a powerful training paradigm for LLM-based agents. Howe…
OpenAI官方披露最新大模型GPT-5.6 Sol系统卡，安全部署细节与性能提升一探究竟
System card: https://deploymentsafety.openai.com/gpt-5-6-preview Comments URL: https://news.ycombinator.com/item?id=48689028 Points: 512 # Comments: 3…
用强化学习优化大模型事件预测，GRPO策略带来新突破
arXiv:2606.15917v1 Announce Type: new Abstract: We use Group Relative Policy Optimization (GRPO), a recently devised sample and memory efficient reinf…
大模型与图数据深度融合，构建原生图协同AI系统，来自PAKDD前沿教程。
arXiv:2606.11560v1 Announce Type: cross Abstract: Large Language Models (LLMs) have advanced rapidly, but their limitations in structured and multi-ho…
解锁LLM新能力：自改进经验库让AI自动制定优化程序，无需人工干预的精妙方法。
arXiv:2510.18428v4 Announce Type: replace Abstract: Optimization modeling underlies critical decision-making across industries, yet remains difficult …
79页长文，探索智能体社会中的长期生命模拟与学习，AI前沿研究不容错过。
arXiv:2606.07513v1 Announce Type: new Abstract: Humans learn from social life. Simulating this process with LLM-powered agents represents a promising …
视觉AI的下一个前沿不是像素，而是可迭代的代码——设计师真正需要的是能持续修改的源文件。
Article URL: https://a16z.com/the-next-frontier-of-visual-ai-is-code/ Comments URL: https://news.ycombinator.com/item?id=48412615 Points: 1 # Comments…