AI BENCHMARK PROFILE
CRAB-Bench
CRAB-Bench evaluates LLM agents on tasks generated via a constraint graph over multiple interdependent entities, using the RUSE user simulator with imperfect behavior. Scoring is pass@1 against valid solutions.
- Released
- 2026-06-01
- Readiness
- Paper only
- Primary field
- General AI
Why it matters
Establishes an evaluation setting for agent performance under complex task dependencies and simulated realistic user behavior, measuring task-solving ability and conversational quality in service scenarios.
Motivation
Evaluating LLM agents in realistic service scenarios requires complex task dependencies, imperfect user behavior, and an evaluation that accommodates multiple valid solutions.
Primary resources
Benchmark Radar records only publicly supported details and links back to primary sources for verification.