Author

Jaewook Lee

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Preprint Aug 2026

Is Discrete Difficulty Sufficient? Leveraging Continuous Difficulty for Efficient Self-Consistency in LLMs

Flexible Self-Consistency (FSC) is proposed, which estimates problem difficulty as a continuous signal and dynamically adjusts the number of generated reasoning paths accordingly and leverages it as an indicator of model uncertainty to flexibly control the sampling budget.

Sihyeong Yeom, Geon Park, Geunyeong Jeong et al. · 0 citations

#natural language process... May 2026

Who Am I? History-Aware Profiles for Student Simulation in Tutoring Dialogues

This work proposes a two-component framework in which a profile generator summarizes a student's history and a simulator predicts student turns conditioned on the resulting profile, which trains both components with reinforcement learning (RL), yielding profiles optimized for faithful student simulation.

Zhangqi Duan, Shuyan Huang, Alexander Scarlatos et al. · arXiv.org · 0 citations

Jul 2026

GRASP: GRanularity-Aware Search Policy for Agentic RAG

GRASP is introduced, a reinforcement learning (RL) framework for training agents to adaptively coordinate complementary retrieval tools during multi-step reasoning, and it is suggested that learning to coordinate retrieval signals and context granularity is critical for agent's correct reasoning.

Varun Gandhi, Jaewook Lee, Shantanu Todmal et al. · arXiv.org · 0 citations