…that dynamically evolves memory topology through three stages to improve performance in complex agentic environments. AI-generated summary Existing memory-augmented LLM agents often treat memory as a static repository with pre…
…optimization , and replay/recomposition for self-improvement. We ground the framework with case studies in math, code/SQL, multimodal reasoning, tool-using agents, and agentic skill benchmarks that evaluate skill induction, reuse…
…Towards Standardized and Verifiable Evaluation of Multimodal Game Agents (2026) CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation (2026) Vision2Web: A Hierarchical Benchmark for Visual Website Development…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct LLM agents increasingly retrieve externally curated skills-procedural instructions retrieved at decision time-to improve performance on long-horizon interactive tasks. Existing skill libraries…
…For data construction, we generate multi-hop questions via knowledge graph random walks and leverage search agent trajectories to build tiered distractors : documents the agent read but did not cite (high confusability…
Papers arxiv:2606.04703 Rethinking Continual Experience Internalization for Self-Evolving LLM Agents Published on Jun 3 Submitted by Wenkai Yang on Jun 5 Authors: Jingwen Chen , Wenkai Yang , , , , , , , , Abstract Experience internalization…
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