…Model-Agnostic Experience Learning with Graph-Structured Memory for LLM Agents (2026) ARIADNE: Agentic Reward-Informed Adaptive Decision Exploration via Blackboard-Driven MCTS for Competitive Program Generation (2026) LLM as a Tool…
…Recent alternatives include agentic reasoning through code or tool calls, and latent reasoning with learnable hidden embeddings. However, agentic methods incur context-switching latency from external execution, while latent methods lack task…
…developing Claw-style personal agents with synthetic training data, verified workspaces, and benchmark evaluation. AI-generated summary Claw-style environments support multi-step workflows over local files, tools, and persistent workspace states…
…Which is, I think, why the interpretable traces are the most durable contribution here — not as the agent's own verdict, but as the surface an external check (a human, a tool…
…trajectory-level rewards verify final correctness but provide limited guidance on which intermediate reasoning steps or tool interactions contribute to the outcome. The difficulty is especially pronounced in multi-turn search agents…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct LLM agents are increasingly deployed as systems built around editable external harnesses, including prompts, skills, memories and tools, that shape task execution without changing…
…Agent skills are increasingly deployed as modular, reusable capability units in AI agent systems. Medical research agent skills require safeguards beyond general-purpose evaluation, including scientific integrity, methodological validity, reproducibility, and boundary…
…to 24% — even with access to a tool it can use to ask for help. HiL-Bench is a benchmark that measures how well agents can identify when they're missing important…
…A Diagnostic Framework for Planning Capabilities in LLM Agents (2026) ADAPT: Benchmarking Commonsense Planning under Unspecified Affordance Constraints (2026) EgoBench: An Interactive Egocentric Multimodal Benchmark for Tool-Using Agents (2026) PlanningBench: Generating…
…Improving Review Substantiveness with Rubric-Guided, Tool-Integrated Agents (2026) EGTR-Review: Efficient Evidence-Grounded Scientific Peer Review Generation via Multi-Agent Teacher Distillation (2026) Can AI Review Improve Paper Drafting? An…