AIBearisharXiv – CS AI · 2h ago6/10
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DynaSchedBench: Calibrated Dynamic Scheduling Benchmarks and Observability Paradox in LLM-based Scheduling Agents
Researchers introduce DynaSchedBench, a calibrated framework for testing AI agents on dynamic job scheduling problems, revealing that large language models underperform expectations. The study uncovers an 'Observability Paradox' where providing agents with complete information actually degrades performance, and shows LLM-based schedulers fail to consistently outperform traditional heuristic baselines despite significant computational overhead.