Kim, Yoon

40 publications

ICLRW 2025 Diversity Measurement and Subset Selection for Instruction Tuning Datasets Peiqi Wang, Yikang Shen, Zhen Guo, Matthew Stallone, Yoon Kim, Polina Golland, Rameswar Panda

ICML 2025 Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping Muru Zhang, Mayank Mishra, Zhongzhu Zhou, William Brandon, Jue Wang, Yoon Kim, Jonathan Ragan-Kelley, Shuaiwen Leon Song, Ben Athiwaratkun, Tri Dao

ICML 2025 On the Duality Between Gradient Transformations and Adapters Lucas Torroba Hennigen, Hunter Lang, Han Guo, Yoon Kim

NeurIPS 2025 PaTH Attention: Position Encoding via Accumulating Householder Transformations Songlin Yang, Yikang Shen, Kaiyue Wen, Shawn Tan, Mayank Mishra, Liliang Ren, Rameswar Panda, Yoon Kim

ICML 2025 Position: Retrieval-Augmented Systems Can Be Dangerous Medical Communicators Lionel Wong, Ayman Ali, Raymond M Xiong, Zejiang Shen, Yoon Kim, Monica Agrawal

NeurIPS 2025 Self-Adapting Language Models Adam Zweiger, Jyothish Pari, Han Guo, Yoon Kim, Pulkit Agrawal

ICLR 2025 The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities Zhaofeng Wu, Xinyan Velocity Yu, Dani Yogatama, Jiasen Lu, Yoon Kim

ICML 2025 The Surprising Effectiveness of Test-Time Training for Few-Shot Learning Ekin Akyürek, Mehul Damani, Adam Zweiger, Linlu Qiu, Han Guo, Jyothish Pari, Yoon Kim, Jacob Andreas

ICLR 2025 Training-Free Activation Sparsity in Large Language Models James Liu, Pragaash Ponnusamy, Tianle Cai, Han Guo, Yoon Kim, Ben Athiwaratkun

CVPR 2025 Vision-Language Models Do Not Understand Negation Kumail Alhamoud, Shaden Alshammari, Yonglong Tian, Guohao Li, Philip H.S. Torr, Yoon Kim, Marzyeh Ghassemi

NeurIPSW 2024 Can Language Models Perform Implicit Bayesian Inference over User Preference States? Linlu Qiu, Fei Sha, Kelsey R Allen, Yoon Kim, Tal Linzen, Sjoerd van Steenkiste

ICML 2024 Data Engineering for Scaling Language Models to 128k Context Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng

ICLR 2024 DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models Yung-Sung Chuang, Yujia Xie, Hongyin Luo, Yoon Kim, James R. Glass, Pengcheng He

ICML 2024 Gated Linear Attention Transformers with Hardware-Efficient Training Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim

TMLR 2024 Improving Black-Box Robustness with In-Context Rewriting Kyle O'Brien, Nathan Hoyen Ng, Isha Puri, Jorge Mendez-Mendez, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi, Thomas Hartvigsen

ICML 2024 In-Context Language Learning: Architectures and Algorithms Ekin Akyürek, Bailin Wang, Yoon Kim, Jacob Andreas

ICLR 2024 LQ-LoRA: Low-Rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning Han Guo, Philip Greengard, Eric Xing, Yoon Kim

NeurIPS 2024 Parallelizing Linear Transformers with the Delta Rule over Sequence Length Songlin Yang, Bailin Wang, Yu Zhang, Yikang Shen, Yoon Kim

ICLR 2024 Phenomenal yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren

ICMLW 2024 Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami

ICLRW 2024 Value Augmented Sampling: Predict Your Rewards to Align Language Models Seungwook Han, Idan Shenfeld, Akash Srivastava, Yoon Kim, Pulkit Agrawal

NeurIPS 2023 Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors Tom Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi

NeurIPSW 2023 CHAMP: A Competition-Level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities Yujun Mao, Yoon Kim, Yilun Zhou

ICLR 2023 Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach Han Guo, Philip Greengard, Hongyi Wang, Andrew Gelman, Yoon Kim, Eric Xing

NeurIPS 2023 Grammar Prompting for Domain-Specific Language Generation with Large Language Models Bailin Wang, Zi Wang, Xuezhi Wang, Yuan Cao, Rif A. Saurous, Yoon Kim

ICLR 2023 Learning to Grow Pretrained Models for Efficient Transformer Training Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogerio Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim

ICLR 2023 Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogerio Feris, Huan Sun, Yoon Kim

NeurIPSW 2022 Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors Thomas Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi

ICML 2022 Co-Training Improves Prompt-Based Learning for Large Language Models Hunter Lang, Monica N Agrawal, Yoon Kim, David Sontag

CVPR 2022 VALHALLA: Visual Hallucination for Machine Translation Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogerio S. Feris, David Cox, Nuno Vasconcelos

NeurIPS 2021 Sequence-to-Sequence Learning with Latent Neural Grammars Yoon Kim

ICML 2020 Emergence of Separable Manifolds in Deep Language Representations Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, Sueyeon Chung

ICML 2020 Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models Rares-Darius Buhai, Yoni Halpern, Yoon Kim, Andrej Risteski, David Sontag

NeurIPS 2019 Amortized Bethe Free Energy Minimization for Learning MRFs Sam Wiseman, Yoon Kim

AISTATS 2019 Avoiding Latent Variable Collapse with Generative Skip Models Adji B. Dieng, Yoon Kim, Alexander M. Rush, David M. Blei

ICML 2018 Adversarially Regularized Autoencoders Junbo Zhao, Yoon Kim, Kelly Zhang, Alexander Rush, Yann LeCun

NeurIPS 2018 Latent Alignment and Variational Attention Yuntian Deng, Yoon Kim, Justin Chiu, Demi Guo, Alexander Rush

ICML 2018 Semi-Amortized Variational Autoencoders Yoon Kim, Sam Wiseman, Andrew Miller, David Sontag, Alexander Rush

ICLR 2017 Structured Attention Networks Yoon Kim, Carl Denton, Luong Hoang, Alexander M. Rush

AAAI 2016 Character-Aware Neural Language Models Yoon Kim, Yacine Jernite, David A. Sontag, Alexander M. Rush