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cs.CL2026
DeEscalWild: A Real-World Benchmark for Automated De-Escalation Training with SLMs
Md Hasebul Hasan, Krity Haque Charu, Eshwara Prasad Sridhar +2
Effective de-escalation is critical for law enforcement safety and community trust, yet traditional training methods lack scalability and realism. While Large Language Models (LLMs…
cs.CL2025
MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models
Mahir Labib Dihan, Md Tanvir Hassan, Md Tanvir Parvez +5
Recent advancements in foundation models have improved autonomous tool usage and reasoning, but their capabilities in map-based reasoning remain underexplored. To address this, we…