MIMeBench: New Multi-Agent Reasoning Benchmark Tests Semantic Abstraction and Contrastive Discrimination — CoT Gains Are Task-Dependent

arXiv·medium signal

ArXiv 2601.13243 introduces MIMeBench, targeting semantic abstraction and contrastive discrimination capabilities that existing benchmarks undertest in multi-agent reasoning pipelines. The companion comprehensive evaluation finds that Chain-of-Thought augmentation and multi-agent debate show inconsistent gains across task types, with no single reasoning paradigm dominating. Key takeaway for builders: benchmark selection determines which paradigm appears optimal, making MIMeBench a useful complement to task-specific evals.