Not All Bits Are Equal: Scale-Dependent Memory Optimization Strategies for Reasoning Models

Junhyuck Kim, Ethan Ewer, Taehong Moon, Jongho Park, Dimitris Papailiopoulos

Language Model ICLR 2026

Not All Bits Are Equal: Scale-Dependent Memory Optimization Strategies for Reasoning Models

ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs

Wonjun Kang, Kevin Galim, Seunghyuk Oh, Minjae Lee, Yuchen Zeng, Shuibai Zhang, Coleman Richard Charles Hooper, Yuezhou Hu, Hyung Il Koo, Nam Ik Cho, Kangwook Lee

Language Model ICLR 2026

ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs

Delving into Large Language Models for Effective Time-Series Anomaly Detection

Junwoo Park, Kyudan Jung, Dohyun Lee, Hyuck Lee, Daehoon Gwak , ChaeHun Park, Jaegul Choo, Jaewoong Cho

Language Model NeurIPS 2025

Delving into Large Language Models for Effective Time-Series Anomaly Detection

Task Diversity Shortens the ICL Plateau

Jaeyeon Kim, Sehyun Kwon, Joo Young Choi, Jongho Park, Jaewoong Cho, Jason D. Lee, Ernest K. Ryu

Language Model TMLR 2025

Task Diversity Shortens the ICL Plateau

Draft-based Approximate Inference for LLMs

Kevin Galim, Ethan Ewer, Wonjun Kang, Minjae Lee, Hyung Il Koo, Kangwook Lee

Language Model ICLR 2026

Draft-based Approximate Inference for LLMs

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games

Dongmin Park, Minkyu Kim, Beongjun Choi, Junhyuck Kim, Keon Lee, Jonghyun Lee, Inkyu Park, Byeong-Uk Lee, Jaeyoung Hwang, Jaewoo Ahn, Ameya S. Mahabaleshwarkar, Bilal Kartal, Pritam Biswas, Yoshi Suhara, Kangwook Lee, Jaewoong Cho

Language ModelICLR 2026

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games

T1: Tool-integrated Verification for Test-time Compute Scaling in Small Language Models

Minki Kang, Jongwon Jeong, Jaewoong Cho

Language Model ICLR 2026

T1: Tool-integrated Verification for Test-time Compute Scaling in Small Language Models

In-Context Learning with Hypothesis-Class Guidance

Ziqian Lin, Shubham Kumar Bharti, Kangwook Lee

Language Model arXiv

In-Context Learning with Hypothesis-Class Guidance

LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization

Erica Zhang, Ryunosuke Goto, Naomi Sagan, Jurik Mutter, Nick Phillips, Ash Alizadeh, Kangwook Lee, Jose Blanchet, Mert Pilanci, and Robert Tibshirani

Language Model arXiv

LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization

Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation

Jaechang Kim, Jinmin Goh, Inseok Hwang, Jaewoong Cho, Jungseul Ok

Language Model NAACL 2025

Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation