Tracked topic
Large language models are machine learning models trained to predict and generate text and other language-based outputs.
…Iterative Co-Training of LLM Rewriter & Dense Encoder for Tool Retrieval Published on May 28 Submitted by Ashutosh Hathidara on May 29 SAP Authors: , Ashutosh Hathidara , Abstract CoHyDE is an iterative method…
…AI-generated summary Automatic generation of executable Blender code from natural language remains challenging, with state-of-the-art LLMs producing frequent syntactic errors and geometrically inconsistent objects. We present BlenderRAG, a…
…Disentangling Evolution Capabilities in Self-Evolving LLM Agents (2026) Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses (2026) SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories (2026) Please give…
Papers arxiv:2605.02801 Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces Published on May 4 Submitted by Chenchen Zhang on May 6 Authors: Abstract Reinforcement learning for large…
…Group-based RLVR as Target-Projection on the LLM Response Simplex Published on May 7 Submitted by Yun Qu on May 11 Tencent Hunyuan Authors: Yun Qu , , , , , , , , , , , , , Abstract Group-based policy gradient…
Papers arxiv:2605.30159 Meta-Cognitive Memory Policy Optimization for Long-Horizon LLM Agents Published on May 28 Submitted by liu on Jun 5 university of science and technology of china Authors…
…Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision (2026) Skills on the Fly: Test-Time Adaptive Skill Synthesis for LLM Agents (2026) SkillX: Automatically Constructing Skill Knowledge Bases for Agents…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Prior work has shown that instruction-tuned large language models (LLMs) are less well calibrated than their base pre-trained counterparts. However, little is…
…Stronger Search Architectures Can Substitute for Larger LLMs in Evolutionary Search (2026) Quality-Diversity Evolution for Discovering Diverse Vulnerabilities in LLM Safety (2026) TurboEvolve: Towards Fast and Robust LLM-Driven Program Evolution…
…Tz-Huan Hsu , Jheng-Hong Yang , Abstract Lexical retrievers remain effective for deep research tasks when paired with advanced LLMs, outperforming dense retrievers in answer accuracy and evidence recall. AI-generated summary…