AI论文速递 2026年08月14日(HuggingFace Daily Papers)¶
数据来源:https://huggingface.co/papers 采集时间:2026-08-14
📌 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... 💡 空间智能落地具身智能,程序记忆新范式值得关注。
- Intern-S2-Preview: Scientific Agentic Foundation Model | arXiv — 【重点关注】 Scientific discovery increasingly requires AI systems that can reason over sc... 💡 科学发现智能体基座模型,科研自动化新进展。
- 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... 💡 Agent 长期记忆段级整合,直击长程任务痛点。
📋 其他值得关注¶
- ComBodied Agents: a New Paradigm of Human-Centric Agentic AI | arXiv — After an older adult misses a medication dose, a software agent can send anot...
- AutoDesign: Meta-Harness Optimization for Long-Horizon Agentic Design | arXiv — Transforming multimodal sources into condensed and structured media outputs c...
- MBA: Multimodal Benchmark and Agents for Real-World Business Ideation | arXiv — Agentic systems powered by large language models (LLMs) have opened new oppor...
- 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...
- DistilVDR: A Compact End-to-End Visual Document Retriever via Dual-Student Distillation | arXiv — Visual document retrieval (VDR) is dominated by multi-billion-parameter model...
- 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...