collaborators

7 papers

cs.CL2026

Towards Understanding Pause Token Fine-Tuning Dynamics: A Mode Retention Perspective

Jaehyeon Kim, Suhwan Kim, Nakyung Lee +4

Pause-token methods improve LLM reasoning by inserting special tokens into sequences. Prior work explains these gains through computational expressivity. However, there is relative…

cs.CL2026

DCGC: Draft-Conditioned Global Correction for Complex Reasoning with Masked Diffusion Models

Minhae Oh, Nakyung Lee, Jungwoo Lee

Correcting flawed reasoning traces remains a significant challenge for Large Language Models (LLMs), whose autoregressive generation can propagate early mistakes into subsequent re…

cs.LG2026

Mechanistic Circuit Identification for Controllable Data Generation

Nakyung Lee, Sangwoo Hong, Jungwoo Lee

While recent advances in data synthesis aim to curate high-quality datasets, most generation pipelines still rely on heuristic prompt-based control. This black-box paradigm provide…

cs.AI2026

Function-Level Execution Feedback for Code Preference Optimization

Idris Nechnech, Sehwan Kim, Jimin Seo +4

Process supervision has improved mathematical reasoning, where intermediate steps are naturally expressed as chains of thought. In code generation, however, process supervision rem…

cs.CL2026

Efficient Process Reward Modeling via Contrastive Mutual Information

Nakyung Lee, Sangwoo Hong, Jungwoo Lee

Recent research has devoted considerable effort to verifying the intermediate reasoning steps of chain-of-thought (CoT) trajectories using process reward models (PRMs) and other ve…

cs.CL2025

Mitigating Attention Localization in Small Scale: Self-Attention Refinement via One-step Belief Propagation

Nakyung Lee, Yeongoon Kim, Minhae Oh +4

Transformer-based self-attention mechanism serves as the core of modern language models, yet it often suffers from localization, where attentions collapse onto a limited subset of…

cs.CL2025

RAISE: Enhancing Scientific Reasoning in LLMs via Step-by-Step Retrieval

Minhae Oh, Jeonghye Kim, Nakyung Lee +3

Scientific reasoning requires not only long-chain reasoning processes, but also knowledge of domain-specific terminologies and adaptation to updated findings. To deal with these ch…