CRAB-Bench and RUSE create a new evaluation framework for LLM agents on constraint-graph tasks with realistic human-like user behaviors, reporting 61% pass@1 for the best model and up to 57% further drops under RUSE.
Identifying & Interactively Refining Ambiguous User Goals for Data Visualization Code Generation
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CRAB-Bench: Evaluating LLM Agents under Complex Task Dependencies and Human-aligned User Simulation
CRAB-Bench and RUSE create a new evaluation framework for LLM agents on constraint-graph tasks with realistic human-like user behaviors, reporting 61% pass@1 for the best model and up to 57% further drops under RUSE.