DIVE & synthetic evaluation tooling — step-level, diverse-task evals
Key Questions
What benchmarks support step-level agent evaluation?
Tools like AgenticDataBench, PACE, and DiscoBench provide comprehensive testing for data agents, capability proxies, and clarification-aware search.
How do diverse-task evals improve agent robustness?
Frameworks such as GTA-2, OccuBench, and ToolSimulator boost performance across varied tasks including tool use and multi-modal scenarios.
What is Chat2Workflow used for in evaluation?
It enables natural language to visual workflow conversion for testing agent orchestration and step-level reasoning.
How does MM-JudgeBias address evaluation challenges?
It detects biases in MLLM-based judging to ensure fairer assessment of agent outputs across diverse tasks.
Which new benchmarks focus on long-horizon or clarification needs?
AgenticSTS tests bounded-memory long-horizon agents while DiscoBench evaluates when search agents should seek clarification.
Climaxing. Agentic AI testing frameworks; Chat2Workflow NL-visual; MM-JudgeBias MLLM biases; GTA-2/OccuBench/Muses/ToolSimulator/SealQA/SemaClaw/UI-Copilot/GameWorld/KnowRL/PDB/WebXSkill boosting tool robustness.