| 2026 | ACL | ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning. | Juyong Jiang, Jiasi Shen, Sunghun Kim, Kang Min Yoo, Jeonghoon Kim, Sungju Kim |
| 2026 | ACL | Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language Models. | Kyudan Jung, Jihwan Kim, Soyoon Kim, Jeonghoon Kim, Jaegul Choo, Cheonbok Park |
| 2026 | ACL | Enhancing Hallucination Detection via Future Context. | Joosung Lee, Cheonbok Park, Hwiyeol Jo, Jeonghoon Kim, Joonsuk Park, Kang Min Yoo |
| 2025 | ICML | Peri-LN: Revisiting Normalization Layer in the Transformer Architecture. | Jeonghoon Kim, Byeongchan Lee, Cheonbok Park, Yeontaek Oh, Beomjun Kim, Taehwan Yoo, Seongjin Shin, Dongyoon Han, Jinwoo Shin, Kang Min Yoo |
| 2025 | NAACL | LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices. | Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee |
| 2024 | ACL | Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning. | Jeonghoon Kim, Heesoo Jung, Hyeju Jang, Hogun Park |
| 2024 | ECCV | Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains. | Jaeyeul Kim, Jungwan Woo, Jeonghoon Kim, Sunghoon Im |
| 2024 | ICLR | Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models. | Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee |
| 2024 | ICLR | LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models. | Gunho Park, Baeseong Park, Minsub Kim, Sungjae Lee, Jeonghoon Kim, Beomseok Kwon, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee |
| 2023 | ICLR | Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic. | Yulhwa Kim, Jaeyong Jang, Jehun Lee, Jihoon Park, Jeonghoon Kim, Byeongwook Kim, Baeseong Park, Se Jung Kwon, Dongsoo Lee, Jae-Joon Kim |
| 2023 | ICML | FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization. | Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee |
| 2022 | EMNLP | AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. | Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee |
| 2018 | AMIA | A Hospital-tethered Mobile Personal Health Records: Comparison of Patient Engagement Function Usage Pattern According to Version-up. | Yura Lee, Yu Rang Park, Jae Ho Lee, Ji-Young Kim, Jeonghoon Kim, Woo-Sung Kim |