Benchmark RadarWuYuEval
A multi-level benchmark evaluates LLMs in solid waste management across foundational knowledge, domain reasoning, and expert decision-making using closed-ended and open-ended questions.
- Released
- 2026-07-24
- Readiness
- Paper only
- Primary field
- General AI
Why it matters
Fills a gap in evaluating professional decisions under engineering, environmental, and policy constraints, providing a resource for developing domain-oriented models.
Motivation
Large language models (LLMs) are increasingly used as technical assistants, but their competence in solid waste management (SWM) remains difficult to assess because existing benchmarks emphasize general knowledge rather than professional decisions under engineering, environmental, and policy constraints.
Primary resources
Benchmark Radar records only publicly supported details and links back to primary sources for verification.