Jaewoong Cho

51 papers A* 12B 3Journal 33Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Alignment as Distribution Learning: Your Preference Model is Explicitly a Language Model.
CoRR
Jihun Yun, Juno Kim, Jongho Park, Junhyuck Kim, Jongha Jon Ryu, Jaewoong Cho, Kwang-Sung Jun
2025 — conf
Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation.
NAACL (Long Papers)
Jaechang Kim, Jinmin Goh, Inseok Hwang, Jaewoong Cho, Jungseul Ok
2025 J jnl
Clip-Low Increases Entropy and Clip-High Decreases Entropy in Reinforcement Learning of Large Language Models.
CoRR
Jaesung R. Park, Junsu Kim, Gyeongman Kim, Jinyoung Jo, Sean Choi, Jaewoong Cho, Ernest K. Ryu
2025 A* conf
DiTTo-TTS: Diffusion Transformers for Scalable Text-to-Speech without Domain-Specific Factors.
ICLR
Keon Lee, Dong Won Kim, Jaehyeon Kim, Seungjun Chung, Jaewoong Cho
2025 J jnl
Distilling LLM Agent into Small Models with Retrieval and Code Tools.
CoRR
Minki Kang, Jongwon Jeong, Seanie Lee, Jaewoong Cho, Sung Ju Hwang
2025 A* conf
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens.
ICML
Jaehyeon Kim, Taehong Moon, Keon Lee, Jaewoong Cho
2025 A* conf
FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games.
EMNLP
Jaewoo Ahn, Junseo Kim, Heeseung Yun, Jaehyeon Son, Dongmin Park, Jaewoong Cho, Gunhee Kim
2025 J jnl
FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games.
CoRR
Jaewoo Ahn, Junseo Kim, Heeseung Yun, Jaehyeon Son, Dongmin Park, Jaewoong Cho, Gunhee Kim
2025 A* conf
Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries.
ICML
Junhyuck Kim, Jongho Park, Jaewoong Cho, Dimitris Papailiopoulos
2025 J jnl
Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games.
CoRR
Dongmin Park, Minkyu Kim, Beongjun Choi, Junhyuck Kim, Keon Lee, Jonghyun Lee, Inkyu Park, Byeong-Uk Lee, Jaeyoung Hwang, Jaewoo Ahn, Ameya Sunil Mahabaleshwarkar, Bilal Kartal, Pritam Biswas, Yoshi Suhara, Kangwook Lee, Jaewoong Cho
2025 A* conf
Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance.
ICLR
Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee, Jaewoong Cho
2025 J jnl
T1: Tool-integrated Self-verification for Test-time Compute Scaling in Small Language Models.
CoRR
Minki Kang, Jongwon Jeong, Jaewoong Cho
2025 J jnl
Task Diversity Shortens the In-Context Learning Plateau.
Trans. Mach. Learn. Res.
Jaeyeon Kim, Sehyun Kwon, Joo Young Choi, Jongho Park, Jaewoong Cho, Jason D. Lee, Ernest K. Ryu
2024 A* conf
A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models.
ICML
Tae Hong Moon, Moonseok Choi, EungGu Yun, Jongmin Yoon, Gayoung Lee, Jaewoong Cho, Juho Lee
2024 J jnl
A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models.
CoRR
Tae Hong Moon, Moonseok Choi, EungGu Yun, Jongmin Yoon, Gayoung Lee, Jaewoong Cho, Juho Lee
2024 J jnl
A Simple Framework to Accelerate Multilingual Language Model for Monolingual Text Generation.
CoRR
Jimin Hong, Gibbeum Lee, Jaewoong Cho
2024 — conf
Accelerating Multilingual Language Model for Excessively Tokenized Languages.
ACL (Findings)
Jimin Hong, Gibbeum Lee, Jaewoong Cho
2024 J jnl
Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation.
CoRR
Jaechang Kim, Jinmin Goh, Inseok Hwang, Jaewoong Cho, Jungseul Ok
2024 A* conf
CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech.
ICLR
Jaehyeon Kim, Keon Lee, Seungjun Chung, Jaewoong Cho
2024 J jnl
CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech.
CoRR
Jaehyeon Kim, Keon Lee, Seungjun Chung, Jaewoong Cho
2024 A* conf
Can Mamba Learn How To Learn? A Comparative Study on In-Context Learning Tasks.
ICML
Jongho Park, Jaeseung Park, Zheyang Xiong, Nayoung Lee, Jaewoong Cho, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos
2024 J jnl
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks.
CoRR
Jongho Park, Jaeseung Park, Zheyang Xiong, Nayoung Lee, Jaewoong Cho, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos
2024 J jnl
DiTTo-TTS: Efficient and Scalable Zero-Shot Text-to-Speech with Diffusion Transformer.
CoRR
Keon Lee, Dong Won Kim, Jaehyeon Kim, Jaewoong Cho
2024 J jnl
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens.
CoRR
Jaehyeon Kim, Taehong Moon, Keon Lee, Jaewoong Cho
2024 J jnl
Fast and Accurate Neural Rendering Using Semi-Gradients.
CoRR
In-Young Cho, Jaewoong Cho
2024 A* conf
Image Clustering Conditioned on Text Criteria.
ICLR
Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee
2024 A* conf
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models.
NeurIPS
Minki Kang, Sung Ju Hwang, Gibbeum Lee, Jaewoong Cho
2024 J jnl
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models.
CoRR
Minki Kang, Sung Ju Hwang, Gibbeum Lee, Jaewoong Cho
2024 J jnl
Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries.
CoRR
Junhyuck Kim, Jongho Park, Jaewoong Cho, Dimitris Papailiopoulos
2024 J jnl
Mini-Batch Optimization of Contrastive Loss.
Trans. Mach. Learn. Res.
Jaewoong Cho, Kartik Sreenivasan, Keon Lee, Kyunghoo Mun, Soheun Yi, Jeong-Gwan Lee, Anna Lee, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee
2024 J jnl
Predictive Pipelined Decoding: A Compute-Latency Trade-off for Exact LLM Decoding.
Trans. Mach. Learn. Res.
Seongjun Yang, Gibbeum Lee, Jaewoong Cho, Dimitris Papailiopoulos, Kangwook Lee
2024 J jnl
Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance.
CoRR
Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee, Jaewoong Cho
2024 J jnl
SAiD: Speech-driven Blendshape Facial Animation with Diffusion.
CoRR
Inkyu Park, Jaewoong Cho
2024 J jnl
Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model.
CoRR
Joo Young Choi, Jaesung R. Park, Inkyu Park, Jaewoong Cho, Albert No, Ernest K. Ryu
2024 J jnl
Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model.
Trans. Mach. Learn. Res.
Joo Young Choi, Jaesung R. Park, Inkyu Park, Jaewoong Cho, Albert No, Ernest K. Ryu
2024 J jnl
Task Diversity Shortens the ICL Plateau.
CoRR
Jaeyeon Kim, Sehyun Kwon, Joo Young Choi, Jongho Park, Jaewoong Cho, Jason D. Lee, Ernest K. Ryu
2023 J jnl
Addressing Feature Imbalance in Sound Source Separation.
CoRR
Jaechang Kim, Jeongyeon Hwang, Soheun Yi, Jaewoong Cho, Jungseul Ok
2023 A* conf
Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback.
NeurIPS
Taeho Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No, Ernest K. Ryu
2023 J jnl
Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback.
CoRR
Taeho Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No, Ernest K. Ryu
2023 J jnl
Image Clustering Conditioned on Text Criteria.
CoRR
Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee
2023 J jnl
Mini-Batch Optimization of Contrastive Loss.
CoRR
Jaewoong Cho, Kartik Sreenivasan, Keon Lee, Kyunghoo Mun, Soheun Yi, Jeong-Gwan Lee, Anna Lee, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee
2023 J jnl
Predictive Pipelined Decoding: A Compute-Latency Trade-off for Exact LLM Decoding.
CoRR
Seongjun Yang, Gibbeum Lee, Jaewoong Cho, Dimitris S. Papailiopoulos, Kangwook Lee
2022 J jnl
Equal Experience in Recommender Systems.
CoRR
Jaewoong Cho, Moonseok Choi, Changho Suh
2020 A* conf
A Fair Classifier Using Kernel Density Estimation.
NeurIPS
Jaewoong Cho, Gyeongjo Hwang, Changho Suh
2020 B conf
A Fair Classifier Using Mutual Information.
ISIT
Jaewoong Cho, Gyeongjo Hwang, Changho Suh
2019 — conf
Wasserstein GAN Can Perform PCA.
Allerton
Jaewoong Cho, Changho Suh
2019 J jnl
Wasserstein GAN Can Perform PCA.
CoRR
Jaewoong Cho, Changho Suh
2018 J jnl
Two-Way Interference Channel Capacity: How to Have the Cake and Eat It Too.
IEEE Trans. Inf. Theory
Changho Suh, Jaewoong Cho, David Tse
2017 J jnl
Two-Way Interference Channel Capacity: How to Have the Cake and Eat it Too.
CoRR
Changho Suh, Jaewoong Cho, David Tse
2017 B conf
Two-way interference channel capacity: How to have the cake and eat it too.
ISIT
Changho Suh, Jaewoong Cho, David Tse
2016 B conf
To feedback or not to feedback.
ISIT
Changho Suh, David Tse, Jaewoong Cho