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cs.AI2026
Overwhelmed by Choice: Studying LLM Decision Making at Scale
Yu-Chi Lin, Aryan Seth, Anshul Aravind +4
Multiple-choice and candidate-selection evaluations are widely used to assess LLM reasoning and decision-making, yet most benchmarks contain relatively small candidate sets. It rem…
cs.AI2026
PExA: Parallel Exploration Agent for Complex Text-to-SQL
Tanmay Parekh, Ella Hofmann-Coyle, Shuyi Wang +3
LLM-based agents for text-to-SQL often struggle with latency-performance trade-off, where performance improvements come at the cost of latency or vice versa. We reformulate text-to…