…Generated by Qwen/Qwen2.5-Coder-32B-Instruct System prompt optimization improves agent behavior without modifying the underlying model, yielding human-readable, model-agnostic instructions. Existing methods build a prompt agent that…
…Data-Centric Autonomous AI Research (2026) Pioneer Agent: Continual Improvement of Small Language Models in Production (2026) Agent^2 RL-Bench: Can LLM Agents Engineer Agentic RL Post-Training? (2026) ProfiliTable: Profiling…
…AI-generated summary Distributed blackbox consensus optimization is a fundamental problem in multi-agent systems, where agents must improve a global objective using only local objective queries and limited neighbor communication. Existing…
…Increasing retrieval depth improves surfaced evidence recall by 25.3% over shallow retrieval. Overall, our answer is: Yes, a lexical retriever can suffice for agentic search when it is well configured and…
…Haoyuan Li , , , , Abstract Skill-3D framework enables agents to learn scene-aware skills through self-evolving memory and skill libraries, improving tool utilization in 3D spatial reasoning tasks. Generated by Qwen/Qwen2…
…Scaling Evaluation of Long-Horizon Agents on Subjective Enterprise Tasks (2026) SWE-Next: Scalable Real-World Software Engineering Tasks for Agents (2026) A Subgoal-driven Framework for Improving Long-Horizon LLM Agents…
…AI-generated summary Reinforcement learning (RL) has substantially improved the ability of large language model (LLM) agents to interact with environments and solve multi-turn tasks. However, effective agentic RL remains challenging…
Papers arxiv:2605.08083 LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling Published on May 8 Submitted by Chengsong Huang on May 11 #3 Paper of the day Google Authors: Tong…
…Human evaluations corroborate these gains while also highlighting notable improvements in motion and transition smoothness. View arXiv page View PDF Project page Add to collection Community We introduce A^2RD, an agentic…
…agent performance feedback guides SimCoder to generate adaptive curricula near the learner's capability frontier, so that environments become increasingly challenging as the embodied agent improves. Three case studies on embodied navigation…