AI论文速递 2026年06月07日（HuggingFace Daily Papers）¶
数据来源：https://huggingface.co/papers 采集时间：2026-06-07
📌 重点关注¶
- MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery | arXiv — 【重点关注】 Large language model (LLM) agents are increasingly applied to long-horizon ta... 💡 AI工具自动优化新范式，移动端AI适用
- EvoDS: Self-Evolving Autonomous Data Science Agent with Skill Learning and Context Management | arXiv — 【重点关注】 Recent progress in Large Language Model (LLM) agents has enabled promising ad... 💡 端侧AI技能迁移新方案，解决移动场景痛点
- SePO: Self-Evolving Prompt Agent for System Prompt Optimization | arXiv — 【重点关注】 System prompt optimization improves agent behavior without modifying the unde... 💡 Agent工具直接优化，开发参考价值高
📋 其他值得关注¶
- AURA: Intent-Directed Probing for Implicit-Need Surfacing in Situated LLM Agents | arXiv — A situated query like "where is Lin Wei?" often encodes more than its literal...
- Benchmark Everything Everywhere All at Once | arXiv — Benchmarks are fundamental for evaluating and advancing LLMs and MLLMs by pro...
- Multimodal Music Recommendation System using LLMs | arXiv — Music recommendation systems typically treat songs as opaque tokens, relying ...
- AffordanceVLA: A Vision-Language-Action Model Empowering Action Generation through Affordance-Aware Understanding | arXiv — Vision-Language-Action (VLA) models leverage the rich world knowledge of pret...
- World-Language-Action Model for Unified World Modeling, Language Reasoning, and Action Synthesis | arXiv — We propose world-language-action (WLA) models as a new class of embodied foun...
- Absorbing Complexity: An Interaction-Native Knowledge Harness for Financial LLM Agents | arXiv — Financial AI agents often fail for a simple reason: they make users carry the...
- Towards One-to-Many Temporal Grounding | arXiv — Temporal Grounding (TG) aims to localize video segments corresponding to a te...