Yoon Kim

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 136

Top Venues

Publications

Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment. CoRR (2024)
Zejiang Shen, Hunter Lang, Bailin Wang, Yoon Kim, David A. Sontag
Learning to Decode Collaboratively with Multiple Language Models. ACL (1) (2024)
William Merrill, Zhaofeng Wu, Norihito Naka, Yoon Kim, Tal Linzen
Can You Learn Semantics Through Next-Word Prediction? The Case of Entailment. ACL (Findings) (2024)
Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, Ranjay Krishna, Yoon Kim, James R. Glass
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps. CoRR (2024)
Yue Zhou, Yada Zhu, Diego Antognini, Yoon Kim, Yang Zhang
Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models. CoRR (2024)
Yujun Mao, Yoon Kim, Yilun Zhou
CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities. CoRR (2024)
Yung-Sung Chuang, Yujia Xie, Hongyin Luo, Yoon Kim, James R. Glass, Pengcheng He
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models. ICLR (2024)
Kyle O'Brien, Nathan Ng, Isha Puri, Jorge Mendez, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi, Thomas Hartvigsen
Improving Black-box Robustness with In-Context Rewriting. CoRR (2024)
William Merrill, Zhaofeng Wu, Norihito Naka, Yoon Kim, Tal Linzen
Can You Learn Semantics Through Next-Word Prediction? The Case of Entailment. CoRR (2024)
Ekin Akyürek, Bailin Wang, Yoon Kim, Jacob Andreas
In-Context Language Learning: Architectures and Algorithms. CoRR (2024)
Songlin Yang, Bailin Wang, Yu Zhang, Yikang Shen, Yoon Kim
Parallelizing Linear Transformers with the Delta Rule over Sequence Length. CoRR (2024)
Han Guo, William Brandon, Radostin Cholakov, Jonathan Ragan-Kelley, Eric P. Xing, Yoon Kim
Fast Matrix Multiplications for Lookup Table-Quantized LLMs. CoRR (2024)
Dong Won Lee, Hae Won Park, Yoon Kim, Cynthia Breazeal, Louis-Philippe Morency
Improving Dialogue Agents by Decomposing One Global Explicit Annotation with Local Implicit Multimodal Feedback. CoRR (2024)
Seungwook Han, Idan Shenfeld, Akash Srivastava, Yoon Kim, Pulkit Agrawal
Value Augmented Sampling for Language Model Alignment and Personalization. CoRR (2024)
Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyürek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks. NAACL-HLT (2024)
Jaesung Kim, Jung Nam Kim, Yoon Kim, Sungmin Hwang, Minsuk Koo
Design of a 180 nm CMOS Neuron Circuit with Soft-Reset and Underflow Allowing for Loss-Less Hardware Spiking Neural Networks. Adv. Intell. Syst. 6 (1) (2024)
Shannon Zejiang Shen, Hunter Lang, Bailin Wang, Yoon Kim, David A. Sontag
Learning to Decode Collaboratively with Multiple Language Models. CoRR (2024)
Aniruddha Nrusimha, Mayank Mishra, Naigang Wang, Dan Alistarh, Rameswar Panda, Yoon Kim
Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization. CoRR (2024)
Yue Zhou, Yada Zhu, Diego Antognini, Yoon Kim, Yang Zhang
Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models. NAACL-HLT (2024)
Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. ICLR (2024)
Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng
Data Engineering for Scaling Language Models to 128K Context. CoRR (2024)
Yujun Mao, Yoon Kim, Yilun Zhou
CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities. ACL (Findings) (2024)
Jun Hui Park, Jung Nam Kim, Seonhaeng Lee, Gang-Jun Kim, Namhyun Lee, Rock-Hyun Baek, Dae Hwan Kim, Changhyun Kim, Myounggon Kang, Yoon Kim
Current-Voltage Modeling of DRAM Cell Transistor Using Genetic Algorithm and Deep Learning. IEEE Access 12 (2024)
Han Guo, Philip Greengard, Eric P. Xing, Yoon Kim
LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning. ICLR (2024)
Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex 'Sandy' Pentland, Yoon Kim, Jad Kabbara, Deb Roy
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling. CoRR (2024)
Jerry Ngo, Yoon Kim
What Do Language Models Hear? Probing for Auditory Representations in Language Models. CoRR (2024)
Mayank Agarwal, Yikang Shen, Bailin Wang, Yoon Kim, Jie Chen
Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models. CoRR (2024)
Peter Baile Chen, Yi Zhang, Chunwei Liu, Sejal Gupta, Yoon Kim, Michael J. Cafarella
MDCR: A Dataset for Multi-Document Conditional Reasoning. CoRR (2024)
Peiqi Wang, Yikang Shen, Zhen Guo, Matthew Stallone, Yoon Kim, Polina Golland, Rameswar Panda
Diversity Measurement and Subset Selection for Instruction Tuning Datasets. CoRR (2024)
Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex Pentland, Yoon Kim, Deb Roy, Jad Kabbara
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling. ACL (1) (2024)
Jerry Ngo, Yoon Kim
What Do Language Models Hear? Probing for Auditory Representations in Language Models. ACL (1) (2024)
Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim
Learning to Grow Pretrained Models for Efficient Transformer Training. CoRR (2023)
Joshua Gorniak, Yoon Kim, Stephen Gwon, Donglai Wei, Nam Wook Kim
VizAbility: Multimodal Accessible Data Visualization with Keyboard Navigation and Conversational Interaction. CoRR (2023)
Sarah J. Zhang, Samuel Florin, Ariel N. Lee, Eamon Niknafs, Andrei Marginean, Annie Wang, Keith Tyser, Zad Chin, Yann Hicke, Nikhil Singh, Madeleine Udell, Yoon Kim, Tonio Buonassisi, Armando Solar-Lezama, Iddo Drori
Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models. CoRR (2023)
Jiaxin Ge, Hongyin Luo, Yoon Kim, James R. Glass
Entailment as Robust Self-Learner. CoRR (2023)
Lucas Torroba Hennigen, Yoon Kim
Deriving Language Models from Masked Language Models. CoRR (2023)
Zilu Tang, Mayank Agarwal, Alex Shypula, Bailin Wang, Derry Wijaya, Jie Chen, Yoon Kim
Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations. CoRR (2023)
Han Guo, Philip Greengard, Hongyi Wang, Andrew Gelman, Yoon Kim, Eric P. Xing
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach. ICLR (2023)
Dong Hwan Hwang, So Hyeon Bak, Tae-Jun Ha, Yoon Kim, Woojin Kim, Hyun-Soo Choi
Multi-View Computed Tomography Network for Osteoporosis Classification. IEEE Access 11 (2023)
Hongyin Luo, Tianhua Zhang, Yung-Sung Chuang, Yuan Gong, Yoon Kim, Xixin Wu, Helen Meng, James R. Glass
Search Augmented Instruction Learning. EMNLP (Findings) (2023)
Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim
Gated Linear Attention Transformers with Hardware-Efficient Training. CoRR (2023)
Shinjini Ghosh, Yoon Kim, Ramón Fernandez Astudillo, Tahira Naseem, Jacob Andreas
Alignment via Mutual Information. CoNLL (2023)
Cheng-I Jeff Lai, Freda Shi, Puyuan Peng, Yoon Kim, Kevin Gimpel, Shiyu Chang, Yung-Sung Chuang, Saurabhchand Bhati, David D. Cox, David Harwath, Yang Zhang, Karen Livescu, James R. Glass
Audio-Visual Neural Syntax Acquisition. CoRR (2023)
Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim
Learning to Grow Pretrained Models for Efficient Transformer Training. ICLR (2023)
Bailin Wang, Zi Wang, Xuezhi Wang, Yuan Cao, Rif A. Saurous, Yoon Kim
Grammar Prompting for Domain-Specific Language Generation with Large Language Models. CoRR (2023)
Dongyeon Kang, Wonjung Kim, Jun Tae Jang, Changwook Kim, Jung Nam Kim, Sung-Jin Choi, Jong-Ho Bae, Dong Myong Kim, Yoon Kim, Dae Hwan Kim
Short- and Long-Term Memory Based on a Floating-Gate IGZO Synaptic Transistor. IEEE Access 11 (2023)
Jiaxin Ge, Hongyin Luo, Yoon Kim, James R. Glass
Entailment as Robust Self-Learner. ACL (1) (2023)
Tianhua Zhang, Jiaxin Ge, Hongyin Luo, Yung-Sung Chuang, Mingye Gao, Yuan Gong, Xixin Wu, Yoon Kim, Helen Meng, James R. Glass
Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning. CoRR (2023)
Bailin Wang, Zi Wang, Xuezhi Wang, Yuan Cao, Rif A. Saurous, Yoon Kim
Grammar Prompting for Domain-Specific Language Generation with Large Language Models. NeurIPS (2023)
Songlin Yang, Roger Levy, Yoon Kim
Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars. ACL (1) (2023)
Zilu Tang, Mayank Agarwal, Alexander Shypula, Bailin Wang, Derry Wijaya, Jie Chen, Yoon Kim
Explain-then-translate: an analysis on improving program translation with self-generated explanations. EMNLP (Findings) (2023)
Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. CoRR (2023)
Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyürek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks. CoRR (2023)
Hongyin Luo, Yung-Sung Chuang, Yuan Gong, Tianhua Zhang, Yoon Kim, Xixin Wu, Danny Fox, Helen Meng, James R. Glass
SAIL: Search-Augmented Instruction Learning. CoRR (2023)
Cheng-I Jeff Lai, Freda Shi, Puyuan Peng, Yoon Kim, Kevin Gimpel, Shiyu Chang, Yung-Sung Chuang, Saurabhchand Bhati, David D. Cox, David Harwath, Yang Zhang, Karen Livescu, James R. Glass
Audio-Visual Neural Syntax Acquisition. ASRU (2023)
Lucas Torroba Hennigen, Shannon Shen, Aniruddha Nrusimha, Bernhard Gapp, David A. Sontag, Yoon Kim
Towards Verifiable Text Generation with Symbolic References. CoRR (2023)
Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. ICLR (2023)
Ji Young Lim, Yoon Kim, Seung Mi Yeo, Byung Joo Chae, Jonghan Yu, Ji Hye Hwang
Feasibility and usability of a personalized mHealth app for self-management in the first year following breast cancer surgery. Health Informatics J. 29 (1) (2023)
Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. CoRR (2023)
Han Guo, Philip Greengard, Hongyi Wang, Andrew Gelman, Yoon Kim, Eric P. Xing
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach. CoRR (2023)
Tom Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors. NeurIPS (2023)
Lucas Torroba Hennigen, Yoon Kim
Deriving Language Models from Masked Language Models. ACL (2) (2023)
Wei Liu, Songlin Yang, Yoon Kim, Kewei Tu
Simple Hardware-Efficient PCFGs with Independent Left and Right Productions. CoRR (2023)
Yung-Sung Chuang, Yujia Xie, Hongyin Luo, Yoon Kim, James R. Glass, Pengcheng He
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models. CoRR (2023)
Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim
LangNav: Language as a Perceptual Representation for Navigation. CoRR (2023)
Han Guo, Philip Greengard, Eric P. Xing, Yoon Kim
LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning. CoRR (2023)
Wei Liu, Songlin Yang, Yoon Kim, Kewei Tu
Simple Hardware-Efficient PCFGs with Independent Left and Right Productions. EMNLP (Findings) (2023)
Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos
VALHALLA: Visual Hallucination for Machine Translation. CoRR (2022)
Andrew Drozdov, Jiawei Zhou, Radu Florian, Andrew McCallum, Tahira Naseem, Yoon Kim, Ramón Fernandez Astudillo
Inducing and Using Alignments for Transition-based AMR Parsing. NAACL-HLT (2022)
Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-Wen Li, Scott Yih, Yoon Kim, James R. Glass
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. NAACL-HLT (2022)
Gwiseong Moon, Seola Kim, Woojin Kim, Yoon Kim, Yeonjin Jeong, Hyun-Soo Choi
Computer Aided Facial Bone Fracture Diagnosis (CA-FBFD) System Based on Object Detection Model. IEEE Access 10 (2022)
Tiwalayo Eisape, Vineet Gangireddy, Roger Levy, Yoon Kim
Probing for Incremental Parse States in Autoregressive Language Models. EMNLP (Findings) (2022)
Hunter Lang, Monica N. Agrawal, Yoon Kim, David A. Sontag
Co-training Improves Prompt-based Learning for Large Language Models. ICML (2022)
Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, David A. Sontag
Large Language Models are Zero-Shot Clinical Information Extractors. CoRR (2022)
Andrew Drozdov, Jiawei Zhou, Radu Florian, Andrew McCallum, Tahira Naseem, Yoon Kim, Ramón Fernandez Astudillo
Inducing and Using Alignments for Transition-based AMR Parsing. CoRR (2022)
Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Richard Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos
VALHALLA: Visual Hallucination for Machine Translation. CVPR (2022)
Songlin Yang, Roger P. Levy, Yoon Kim
Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars. CoRR (2022)
Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-Wen Li, Wen-tau Yih, Yoon Kim, James R. Glass
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. CoRR (2022)
Tiwalayo Eisape, Vineet Gangireddy, Roger P. Levy, Yoon Kim
Probing for Incremental Parse States in Autoregressive Language Models. CoRR (2022)
Bailin Wang, Ivan Titov, Jacob Andreas, Yoon Kim
Hierarchical Phrase-based Sequence-to-Sequence Learning. CoRR (2022)
Hunter Lang, Monica Agrawal, Yoon Kim, David A. Sontag
Co-training Improves Prompt-based Learning for Large Language Models. CoRR (2022)
Bailin Wang, Ivan Titov, Jacob Andreas, Yoon Kim
Hierarchical Phrase-Based Sequence-to-Sequence Learning. EMNLP (2022)
Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, David A. Sontag
Large language models are few-shot clinical information extractors. EMNLP (2022)
Jiabao Ji, Yoon Kim, James R. Glass, Tianxing He
Controlling the Focus of Pretrained Language Generation Models. ACL (Findings) (2022)
Shahid Latif, Zheng Zhou, Yoon Kim, Fabian Beck, Nam Wook Kim
Kori: Interactive Synthesis of Text and Charts in Data Documents. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Jiabao Ji, Yoon Kim, James R. Glass, Tianxing He
Controlling the Focus of Pretrained Language Generation Models. CoRR (2022)
Thomas Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors. CoRR (2022)
Jo-Eun Kim, Boram Kim, Hui Tae Kwon, Jaesung Kim, Kyungmin Kim, Dong-Wook Park, Yoon Kim
Flexible Parylene C-Based RRAM Array for Neuromorphic Applications. IEEE Access 10 (2022)
Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim, Brian D. Leahy, Helen Y. Yang, Alexander M. Rush, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field. MICCAI (8) (2021)
Matteo Alleman, Jonathan Mamou, Miguel A. Del Rio, Hanlin Tang, Yoon Kim, SueYeon Chung
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models. CoRR (2021)
Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim, Brian D. Leahy, Helen Y. Yang, Alexander M. Rush, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field. CoRR (2021)
Yoon Kim
Sequence-to-Sequence Learning with Latent Neural Grammars. CoRR (2021)
Shahid Latif, Zheng Zhou, Yoon Kim, Fabian Beck, Nam Wook Kim
Kori: Interactive Synthesis of Text and Charts in Data Documents. CoRR (2021)
Yoon Kim
Sequence-to-Sequence Learning with Latent Neural Grammars. NeurIPS (2021)
Matteo Alleman, Jonathan Mamou, Miguel A. Del Rio, Hanlin Tang, Yoon Kim, SueYeon Chung
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models. RepL4NLP@ACL-IJCNLP (2021)
Demi Guo, Alexander M. Rush, Yoon Kim
Parameter-Efficient Transfer Learning with Diff Pruning. ACL/IJCNLP (1) (2021)
Demi Guo, Yoon Kim, Alexander M. Rush
Sequence-Level Mixed Sample Data Augmentation. CoRR (2020)
Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung
Emergence of Separable Manifolds in Deep Language Representations. ICML (2020)
Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung
Emergence of Separable Manifolds in Deep Language Representations. CoRR (2020)
Ji-Ho Ryu, Boram Kim, Fayyaz Hussain, Muhammad Ismail, Chandreswar Mahata, Teresa Oh, Muhammad Imran, Kyung Kyu Min, Tae-Hyeon Kim, Byung-Do Yang, Seongjae Cho, Byung-Gook Park, Yoon Kim, Sungjun Kim
Zinc Tin Oxide Synaptic Device for Neuromorphic Engineering. IEEE Access 8 (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yoon Kim