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20232026
most citedATHENA: Mathematical Reasoning with Thought Expansion

2 citations · 4 across the 33 of their papers we have counts for

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Showing 2026 · cs.CLShow all

7 papers · 2 filters

cs.CL2026

Linguistics-Aware Non-Distortionary LLM Watermarking

Shinwoo Park, Hyejin Park, Hyeseon An +1

Watermarking should identify language-model output without degrading quality or limiting verification to the model provider. Multilingual deployment makes this harder because morph…

cs.CL2026

EPIC: Efficient and Parallel Inference under CFG Constraints for Diffusion Language Models

Hyundong Jin, Yo-Sub Han

Controlling language model outputs is essential for ensuring structural validity, reliability, and downstream usability, and diffusion language models are no exception. Recent adva…

cs.CL2026

DLM-SWAI: Steering Diffusion Language Models Before They Unmask

Hyeseon An, Yo-Sub Han

Steering language model generation toward desired textual properties is essential for practical deployment, and inference-time methods are particularly appealing because they enabl…

cs.CL2026

Adaptive Steering and Remasking for Safe Generation in Diffusion Language Models

Yejin Lee, Yo-Sub Han, Ungsik Kim

Diffusion Language Models(DLMs) provide a promising alternative to autoregressive language models through iterative denoising and bidirectional generation. However, their iterative…

cs.CL2026

NCO: A Versatile Plug-in for Handling Negative Constraints in Decoding

Hyundong Jin, Yo-Sub Han

Controlling Large Language Models (LLMs) to prevent the generation of undesirable content, such as profanity and personally identifiable information (PII), has become increasingly…

cs.CL2026

When LLM Essays Outscore Student Essays: What a Korean Writing Rubric Rewards and Where Readers Disagree

Shinwoo Park, Yo-Sub Han

LLMs now help students plan, draft, and revise essays. Educational assessment therefore faces a basic question: how should student and LLM writing be compared? Rubrics assign point…

cs.CL2026

Steering Language Models Before They Speak: Logit-Level Interventions

Hyeseon An, Shinwoo Park, Hyundong Jin +1

Controllable generation requires language models to realize output characteristics such as reading level, politeness, and toxicity. Existing steering methods are often indirect, re…