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cs.AI2026
Self-Improvement with Auxiliary Rewards: Learning from Verified Traces and Evaluating Transfer
Minju Gwak, Alan Ritter
Answer-level rewards cannot distinguish reasoning traces with equally correct outcomes. We study whether auxiliary trajectory preferences improve small-language-model self-improvem…
cs.AI2025
Revisiting the Uniform Information Density Hypothesis in LLM Reasoning
Minju Gwak, Guijin Son, Jaehyung Kim
The Uniform Information Density (UID) hypothesis proposes that effective communication is achieved by maintaining a stable flow of information. In this work, we revisit this princi…