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cs.CL2026
The Hidden Cost of Structured Generation in LLMs: Draft-Conditioned Constrained Decoding
Avinash Reddy, Thayne T. Walker, James S. Ide +1
Large language models (LLMs) are increasingly used to generate executable outputs, JSON objects, and API calls, where a single syntax error can make the output unusable. Constraine…
cs.CL2025
Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time
Mohamad Chehade, Soumya Suvra Ghosal, Souradip Chakraborty +4
Aligning large language models with humans is challenging due to the inherently multifaceted nature of preference feedback. While existing approaches typically frame this as a mult…