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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
Learning Structured Reasoning via Tractable Trajectory Control
Po-Nien Kung, Zhen Yang, Jeffrey Luo +7
Large language models can exhibit emergent reasoning behaviors, often manifested as recurring lexical patterns (e.g., "wait," indicating verification). However, complex reasoning t…