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cs.CL2026
AUDITA: A New Dataset to Audit Humans vs. AI Skill at Audio QA
Tasnim Kabir, Dmytro Kurdydyk, Aadi Palnitkar +3
Existing audio question answering benchmarks largely emphasize sound event classification or caption-grounded queries, often enabling models to succeed through shortcut strategies,…
cs.CL2026
Mil-SCORE: Benchmarking Long-Context Geospatial Reasoning and Planning in Large Language Models
Aadi Palnitkar, Mingyang Mao, Nicholas Waytowich +2
As large language models (LLMs) are applied to increasingly longer and more complex tasks, there is a growing need for realistic long-context benchmarks that require selective read…