Pruning and Distilling Mixture-of-Experts into Dense Language Models

Junhyuck Kim, Jihun Yun, Haechan Kim, Gyeongman Kim, Joonghyun Bae, Jaewoong Cho

Language Model ICML 2026 Workshop

Pruning and Distilling Mixture-of-Experts into Dense Language Models

Identifiable Token Correspondence for World Models

Youngin Kim, Ray Sun, Inho Kim, Bumsoo Park, Hyun Oh Song

Language Model ICML 2026

Identifiable Token Correspondence for World Models

Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams

Jiyeon Kim, Hyunji Lee, Dylan Zhou, Sue Hyun Park, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Sungmin Cha, Minjoon Seo

Language Model ACL 2026

Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams

CATS: Inference-aligned SFT for Diffusion LLMs via Context-sensitivity Aware Trajectory Sampling

Seunghyuk Oh, Minjae Lee, Kevin Galim, Minseo Kim, Hyung Il Koo, Wonjun Kang, Hanbaek Lyu, Kangwook Lee

Language Model ICLR 2026 Workshop

CATS: Inference-aligned SFT for Diffusion LLMs via Context-sensitivity Aware Trajectory Sampling

TABED: Test-Time Adaptive Ensemble Drafting for Robust Speculative Decoding in LVLMs

Minjae Lee, Wonjun Kang, Byeongkeun Ahn, Christian Classen, Kevin Galim, Seunghyuk Oh, Minghao Yan, Hyung Il Koo, and Kangwook Lee

Language Model EACL 2026 Findings

TABED: Test-Time Adaptive Ensemble Drafting for Robust Speculative Decoding in LVLMs

ReJump: A Tree-Jump Representation for Analyzing and Improving LLM Reasoning

Yuchen Zeng, Shuibai Zhang, Wonjun Kang, Shutong Wu, Lynnix Zou, Ying Fan, Heeju Kim, Ziqian Lin, Jungtaek Kim, Hyung Il Koo, Dimitris Papailiopoulos, Kangwook Lee

Language Model ICML 2026

ReJump: A Tree-Jump Representation for Analyzing and Improving LLM Reasoning

How to Correctly Report LLM-as-a-Judge Evaluations

Chungpa Lee, Thomas Zeng, Jongwon Jeong, Jy-yong Sohn, Kangwook Lee

Language Model ICML 2026

How to Correctly Report LLM-as-a-Judge Evaluations

Distilling LLM Agent into Small Models with Retrieval and Code Tools

Minki Kang, Jongwon Jeong, Seanie Lee, Jaewoong Cho, Sung Ju Hwang

Language Model NeurIPS 2025

Distilling LLM Agent into Small Models with Retrieval and Code Tools

Lookahead Unmasking Elicits Accurate Decoding in Diffusion Language Models

Sanghyun Lee, Seungryong Kim, Jongho Park, Dongmin Park

Language Model ICML 2026

Lookahead Unmasking Elicits Accurate Decoding in Diffusion Language Models

Learning to Better Search with Language Models via Guided Reinforced Self-Training

Seungyong Moon, Bumsoo Park, Hyun Oh Song

Language Model NeurIPS 2025

Learning to Better Search with Language Models via Guided Reinforced Self-Training