…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…
…Benchmarking Agentic Procedural 3D Modeling Via Code Published on May 31 Submitted by taesiri on Jun 2 Deepmind Authors: Yipeng Gao , , , , , , , Abstract Vision-language models are evaluated for procedural 3D modeling tasks…
…Rule-based tools are blind to rendered visuals, operating only on source code and log files. Text-only LLMs perform open-loop text editing, unable to predict or verify the two-dimensional…
…Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation (2026) Generation Navigator: A State-Aware Agentic Framework for Image Generation (2026) See Before You Code: Learning Visual Priors for Spatially…
…A voice agent can call the correct tools and still misread a confirmation code, fabricate a policy detail, or respond so slowly a caller hangs up. Catching those failures requires evaluation that…
…The following papers were recommended by the Semantic Scholar API Push Your Agent: Measuring and Enforcing Quantitative Goal Persistence in Long-Horizon LLM Agents (2026) RubricRefine: Improving Tool-Use Agent Reliability with…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Deep-research agents solve tasks through long trajectories of search, tool use, evidence inspection, and answer synthesis. Evaluation based on final answers shows whether…