AI论文速递 2026年08月16日(HuggingFace Daily Papers)¶
数据来源:https://huggingface.co/papers 采集时间:2026-08-16
📌 重点关注¶
- Spatial Memory Agent: Experience-Grounded Procedure Memory for Spatial Intelligence | arXiv — 【重点关注】 Spatial intelligence is becoming a foundation for embodied agents, robotic pl... 💡 具身智能体空间记忆新范式,程序化记忆落地路径值得关注。
- Intern-S2-Preview: Scientific Agentic Foundation Model | arXiv — 【重点关注】 Scientific discovery increasingly requires AI systems that can reason over sc... 💡 科学智能体基座模型,Agent能力专用化趋势明显。
- LycheeMemory V2: Efficient Long-Term Memory for LLM Agents via Semantic Segment-Level Consolidation | arXiv — 【重点关注】 Long-horizon LLM agents must preserve information from past interactions to s... 💡 语义段级记忆整合,直击Agent长程任务记忆瓶颈。
📋 其他值得关注¶
- AutoDesign: Meta-Harness Optimization for Long-Horizon Agentic Design | arXiv — Transforming multimodal sources into condensed and structured media outputs c...
- The Illusion of Visual Tool-Use: A Causal Audit of Thinking with Images | arXiv — The "thinking-with-images" paradigm equips multimodal LLMs with active visual...
- DarwinX: Evolving Agent Harnesses Through Natural Selection | arXiv — An LLM agent's capability depends not only on model weights but on its harnes...
- OmniScientist: An Omni-Modal Omni-Discipline AI Scientist | arXiv — Recent advances in foundation models have enabled AI scientists to automate i...
- Hybrid-Policy Self-Editing for Composable Unstructured Knowledge Editing | arXiv — Large language models (LLMs) achieve remarkable performance across natural la...
- Parameter Exploration for RLVR via Variational Learning | arXiv — Exploration has been a focus of reinforcement learning research for a long ti...
- Self-Evolving Embodied Agents via Skill-Harness Evolution | arXiv — Embodied agents are increasingly built as systems around foundation models, w...