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2020 – today
- 2024
- [j31]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: 23881-23886 (2024) - [j30]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) - [c78]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: 2752-2773 - [c77]Jerry Ngo, Yoon Kim:
What Do Language Models Hear? Probing for Auditory Representations in Language Models. ACL (1) 2024: 5435-5448 - [c76]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: 7194-7219 - [c75]Zejiang Shen, Hunter Lang, Bailin Wang, Yoon Kim, David A. Sontag:
Learning to Decode Collaboratively with Multiple Language Models. ACL (1) 2024: 12974-12990 - [c74]Yujun Mao, Yoon Kim, Yilun Zhou:
CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities. ACL (Findings) 2024: 13256-13274 - [c73]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 - [c72]Han Guo, Philip Greengard, Eric P. Xing, Yoon Kim:
LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning. ICLR 2024 - [c71]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 - [c70]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: 1819-1862 - [c69]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: 2793-2804 - [i74]Yujun Mao, Yoon Kim, Yilun Zhou:
CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities. CoRR abs/2401.06961 (2024) - [i73]Mayank Agarwal, Yikang Shen, Bailin Wang, Yoon Kim, Jie Chen:
Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models. CoRR abs/2401.10716 (2024) - [i72]Ekin Akyürek, Bailin Wang, Yoon Kim, Jacob Andreas:
In-Context Language Learning: Architectures and Algorithms. CoRR abs/2401.12973 (2024) - [i71]Peiqi Wang, Yikang Shen, Zhen Guo, Matthew Stallone, Yoon Kim, Polina Golland, Rameswar Panda:
Diversity Measurement and Subset Selection for Instruction Tuning Datasets. CoRR abs/2402.02318 (2024) - [i70]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 abs/2402.08225 (2024) - [i69]Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng:
Data Engineering for Scaling Language Models to 128K Context. CoRR abs/2402.10171 (2024) - [i68]William Merrill, Zhaofeng Wu, Norihito Naka, Yoon Kim, Tal Linzen:
Can You Learn Semantics Through Next-Word Prediction? The Case of Entailment. CoRR abs/2402.13956 (2024) - [i67]Jerry Ngo, Yoon Kim:
What Do Language Models Hear? Probing for Auditory Representations in Language Models. CoRR abs/2402.16998 (2024) - [i66]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 abs/2402.17019 (2024) - [i65]Shannon Zejiang Shen, Hunter Lang, Bailin Wang, Yoon Kim, David A. Sontag:
Learning to Decode Collaboratively with Multiple Language Models. CoRR abs/2403.03870 (2024) - [i64]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 abs/2403.11330 (2024) - [i63]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 abs/2404.03605 (2024) - [i62]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 abs/2404.11500 (2024) - [i61]Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami:
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment. CoRR abs/2404.12318 (2024) - [i60]Seungwook Han, Idan Shenfeld, Akash Srivastava, Yoon Kim, Pulkit Agrawal:
Value Augmented Sampling for Language Model Alignment and Personalization. CoRR abs/2405.06639 (2024) - [i59]Songlin Yang, Bailin Wang, Yu Zhang, Yikang Shen, Yoon Kim:
Parallelizing Linear Transformers with the Delta Rule over Sequence Length. CoRR abs/2406.06484 (2024) - [i58]Peter Baile Chen, Yi Zhang, Chunwei Liu, Sejal Gupta, Yoon Kim, Michael J. Cafarella:
MDCR: A Dataset for Multi-Document Conditional Reasoning. CoRR abs/2406.11784 (2024) - [i57]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 abs/2407.07071 (2024) - [i56]Han Guo, William Brandon, Radostin Cholakov, Jonathan Ragan-Kelley, Eric P. Xing, Yoon Kim:
Fast Matrix Multiplications for Lookup Table-Quantized LLMs. CoRR abs/2407.10960 (2024) - 2023
- [j29]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: 20196-20201 (2023) - [j28]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: 22297-22306 (2023) - [j27]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): 146045822311564 (2023) - [c68]Lucas Torroba Hennigen, Yoon Kim:
Deriving Language Models from Masked Language Models. ACL (2) 2023: 1149-1159 - [c67]Songlin Yang, Roger Levy, Yoon Kim:
Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars. ACL (1) 2023: 5747-5766 - [c66]Jiaxin Ge, Hongyin Luo, Yoon Kim, James R. Glass:
Entailment as Robust Self-Learner. ACL (1) 2023: 13803-13817 - [c65]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: 1-8 - [c64]Shinjini Ghosh, Yoon Kim, Ramón Fernandez Astudillo, Tahira Naseem, Jacob Andreas:
Alignment via Mutual Information. CoNLL 2023: 488-497 - [c63]Wei Liu
, Songlin Yang, Yoon Kim, Kewei Tu:
Simple Hardware-Efficient PCFGs with Independent Left and Right Productions. EMNLP (Findings) 2023: 1662-1669 - [c62]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: 1741-1788 - [c61]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: 3717-3729 - [c60]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 - [c59]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 - [c58]Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim:
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. ICLR 2023 - [c57]Tom Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi:
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors. NeurIPS 2023 - [c56]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 - [i55]Han Guo, Philip Greengard, Hongyi Wang, Andrew Gelman, Yoon Kim, Eric P. Xing:
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach. CoRR abs/2302.04228 (2023) - [i54]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 abs/2303.00980 (2023) - [i53]Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim:
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. CoRR abs/2303.02861 (2023) - [i52]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 abs/2305.15225 (2023) - [i51]Lucas Torroba Hennigen, Yoon Kim:
Deriving Language Models from Masked Language Models. CoRR abs/2305.15501 (2023) - [i50]Jiaxin Ge, Hongyin Luo, Yoon Kim, James R. Glass:
Entailment as Robust Self-Learner. CoRR abs/2305.17197 (2023) - [i49]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 abs/2305.19234 (2023) - [i48]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 abs/2307.02477 (2023) - [i47]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 abs/2309.03883 (2023) - [i46]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 abs/2309.10814 (2023) - [i45]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 abs/2310.07654 (2023) - [i44]Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim:
LangNav: Language as a Perceptual Representation for Navigation. CoRR abs/2310.07889 (2023) - [i43]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 abs/2310.08559 (2023) - [i42]Joshua Gorniak, Yoon Kim, Stephen Gwon, Donglai Wei, Nam Wook Kim:
VizAbility: Multimodal Accessible Data Visualization with Keyboard Navigation and Conversational Interaction. CoRR abs/2310.09611 (2023) - [i41]Wei Liu, Songlin Yang, Yoon Kim, Kewei Tu:
Simple Hardware-Efficient PCFGs with Independent Left and Right Productions. CoRR abs/2310.14997 (2023) - [i40]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 abs/2311.07070 (2023) - [i39]Lucas Torroba Hennigen, Shannon Shen, Aniruddha Nrusimha, Bernhard Gapp, David A. Sontag, Yoon Kim:
Towards Verifiable Text Generation with Symbolic References. CoRR abs/2311.09188 (2023) - [i38]Han Guo, Philip Greengard, Eric P. Xing, Yoon Kim:
LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning. CoRR abs/2311.12023 (2023) - [i37]Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim:
Gated Linear Attention Transformers with Hardware-Efficient Training. CoRR abs/2312.06635 (2023) - 2022
- [j26]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: 79061-79070 (2022) - [j25]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: 109760-109767 (2022) - [j24]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): 184-194 (2022) - [c55]Jiabao Ji, Yoon Kim, James R. Glass, Tianxing He:
Controlling the Focus of Pretrained Language Generation Models. ACL (Findings) 2022: 3291-3306 - [c54]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: 5206-5216 - [c53]Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, David A. Sontag:
Large language models are few-shot clinical information extractors. EMNLP 2022: 1998-2022 - [c52]Tiwalayo Eisape, Vineet Gangireddy, Roger Levy, Yoon Kim:
Probing for Incremental Parse States in Autoregressive Language Models. EMNLP (Findings) 2022: 2801-2813 - [c51]Bailin Wang, Ivan Titov, Jacob Andreas, Yoon Kim:
Hierarchical Phrase-Based Sequence-to-Sequence Learning. EMNLP 2022: 8211-8229 - [c50]Hunter Lang, Monica N. Agrawal, Yoon Kim, David A. Sontag:
Co-training Improves Prompt-based Learning for Large Language Models. ICML 2022: 11985-12003 - [c49]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: 1086-1098 - [c48]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: 4207-4218 - [i36]Hunter Lang, Monica Agrawal, Yoon Kim, David A. Sontag:
Co-training Improves Prompt-based Learning for Large Language Models. CoRR abs/2202.00828 (2022) - [i35]Jiabao Ji, Yoon Kim, James R. Glass, Tianxing He:
Controlling the Focus of Pretrained Language Generation Models. CoRR abs/2203.01146 (2022) - [i34]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 abs/2204.10298 (2022) - [i33]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 abs/2205.01464 (2022) - [i32]Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, David A. Sontag:
Large Language Models are Zero-Shot Clinical Information Extractors. CoRR abs/2205.12689 (2022) - [i31]Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos
:
VALHALLA: Visual Hallucination for Machine Translation. CoRR abs/2206.00100 (2022) - [i30]Bailin Wang, Ivan Titov, Jacob Andreas, Yoon Kim:
Hierarchical Phrase-based Sequence-to-Sequence Learning. CoRR abs/2211.07906 (2022) - [i29]Tiwalayo Eisape, Vineet Gangireddy, Roger P. Levy, Yoon Kim:
Probing for Incremental Parse States in Autoregressive Language Models. CoRR abs/2211.09748 (2022) - [i28]Thomas Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi:
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors. CoRR abs/2211.11031 (2022) - [i27]Songlin Yang, Roger P. Levy, Yoon Kim:
Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars. CoRR abs/2212.09140 (2022) - 2021
- [c47]Demi Guo, Alexander M. Rush
, Yoon Kim:
Parameter-Efficient Transfer Learning with Diff Pruning. ACL/IJCNLP (1) 2021: 4884-4896 - [c46]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: 363-372 - [c45]Yoon Kim:
Sequence-to-Sequence Learning with Latent Neural Grammars. NeurIPS 2021: 26302-26317 - [c44]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: 263-276 - [i26]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 abs/2104.07578 (2021) - [i25]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 abs/2107.06360 (2021) - [i24]Shahid Latif, Zheng Zhou, Yoon Kim, Fabian Beck, Nam Wook Kim:
Kori: Interactive Synthesis of Text and Charts in Data Documents. CoRR abs/2108.04203 (2021) - [i23]Yoon Kim:
Sequence-to-Sequence Learning with Latent Neural Grammars. CoRR abs/2109.01135 (2021) - 2020
- [j23]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: 130678-130686 (2020) - [c43]Demi Guo, Yoon Kim, Alexander M. Rush
:
Sequence-Level Mixed Sample Data Augmentation. EMNLP (1) 2020: 5547-5552 - [c42]Rares-Darius Buhai, Yoni Halpern, Yoon Kim, Andrej Risteski, David A. Sontag:
Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models. ICML 2020: 1211-1219 - [c41]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: 6713-6723 - [i22]Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung
:
Emergence of Separable Manifolds in Deep Language Representations. CoRR abs/2006.01095 (2020) - [i21]Demi Guo, Yoon Kim, Alexander M. Rush:
Sequence-Level Mixed Sample Data Augmentation. CoRR abs/2011.09039 (2020) - [i20]Demi Guo, Alexander M. Rush, Yoon Kim:
Parameter-Efficient Transfer Learning with Diff Pruning. CoRR abs/2012.07463 (2020)
2010 – 2019
- 2019
- [c40]Yoon Kim, Chris Dyer, Alexander M. Rush
:
Compound Probabilistic Context-Free Grammars for Grammar Induction. ACL (1) 2019: 2369-2385 - [c39]Adji B. Dieng, Yoon Kim, Alexander M. Rush
, David M. Blei:
Avoiding Latent Variable Collapse with Generative Skip Models. AISTATS 2019: 2397-2405 - [c38]Yoon Kim, Alexander M. Rush
, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gábor Melis:
Unsupervised Recurrent Neural Network Grammars. NAACL-HLT (1) 2019: 1105-1117 - [c37]Sam Wiseman, Yoon Kim:
Amortized Bethe Free Energy Minimization for Learning MRFs. NeurIPS 2019: 15520-15531 - [i19]Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gábor Melis:
Unsupervised Recurrent Neural Network Grammars. CoRR abs/1904.03746 (2019) - [i18]Sam Wiseman, Yoon Kim:
Amortized Bethe Free Energy Minimization for Learning MRFs. CoRR abs/1906.06399 (2019) - [i17]Yoon Kim, Chris Dyer, Alexander M. Rush:
Compound Probabilistic Context-Free Grammars for Grammar Induction. CoRR abs/1906.10225 (2019) - 2018
- [c36]Guillaume Klein, Yoon Kim, Yuntian Deng, Vincent Nguyen, Jean Senellart, Alexander M. Rush
:
OpenNMT: Neural Machine Translation Toolkit. AMTA (1) 2018: 177-184 - [c35]Erik Marchi, Stephen Shum, Kvuveon Hwang, Sachin Kajarekar, Siddharth Sigtia, Hywel Richards, Rob Haynes, Yoon Kim, John Bridle:
Generalised Discriminative Transform via Curriculum Learning for Speaker Recognition. ICASSP 2018: 5324-5328 - [c34]Yoon Kim, Sam Wiseman, Andrew C. Miller, David A. Sontag, Alexander M. Rush
:
Semi-Amortized Variational Autoencoders. ICML 2018: 2683-2692 - [c33]Junbo Jake Zhao, Yoon Kim, Kelly Zhang, Alexander M. Rush
, Yann LeCun:
Adversarially Regularized Autoencoders. ICML 2018: 5897-5906 - [c32]Yuntian Deng, Yoon Kim, Justin T. Chiu, Demi Guo, Alexander M. Rush
:
Latent Alignment and Variational Attention. NeurIPS 2018: 9735-9747 - [i16]Yoon Kim, Sam Wiseman, Andrew C. Miller, David A. Sontag, Alexander M. Rush:
Semi-Amortized Variational Autoencoders. CoRR abs/1802.02550 (2018) - [i15]Guillaume Klein, Yoon Kim, Yuntian Deng, Vincent Nguyen, Jean Senellart, Alexander M. Rush:
OpenNMT: Neural Machine Translation Toolkit. CoRR abs/1805.11462 (2018) - [i14]Yuntian Deng, Yoon Kim, Justin T. Chiu, Demi Guo, Alexander M. Rush:
Latent Alignment and Variational Attention. CoRR abs/1807.03756 (2018) - [i13]Adji B. Dieng, Yoon Kim, Alexander M. Rush, David M. Blei:
Avoiding Latent Variable Collapse With Generative Skip Models. CoRR abs/1807.04863 (2018) - [i12]Yoon Kim, Sam Wiseman, Alexander M. Rush:
A Tutorial on Deep Latent Variable Models of Natural Language. CoRR abs/1812.06834 (2018) - 2017
- [j22]Younghwan Son, Yoon Kim, Myounggon Kang:
Investigation of capture and emission dependence between individual traps from complex random telegraph signal noise analysis. IEICE Electron. Express 14(2): 20161189 (2017) - [j21]Younghwan Son, Yoon Kim, Myounggon Kang:
Characterization of oxide trap density with the charge pumping technique in dual-layer gate oxide. IEICE Electron. Express 14(8): 20170141 (2017) - [j20]Won Joo Lee, Hee Tae kwon, Hyun-Suk Choi, Deahoon Wee, Sangwan Kim, Yoon Kim:
Reconfigurable U-shaped tunnel field-effect transistor. IEICE Electron. Express 14(20): 20170758 (2017) - [c31]Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, Alexander M. Rush
:
OpenNMT: Open-Source Toolkit for Neural Machine Translation. ACL (System Demonstrations) 2017: 67-72 - [c30]Allen Schmaltz, Yoon Kim, Alexander M. Rush
, Stuart M. Shieber:
Adapting Sequence Models for Sentence Correction. EMNLP 2017: 2807-2813 - [c29]Yoon Kim, Carl Denton, Luong Hoang, Alexander M. Rush
:
Structured Attention Networks. ICLR (Poster) 2017 - [i11]Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, Alexander M. Rush:
OpenNMT: Open-Source Toolkit for Neural Machine Translation. CoRR abs/1701.02810 (2017) - [i10]Yoon Kim, Carl Denton, Luong Hoang, Alexander M. Rush:
Structured Attention Networks. CoRR abs/1702.00887 (2017) - [i9]Junbo Jake Zhao, Yoon Kim, Kelly Zhang, Alexander M. Rush, Yann LeCun:
Adversarially Regularized Autoencoders for Generating Discrete Structures. CoRR abs/1706.04223 (2017) - [i8]Allen Schmaltz, Yoon Kim, Alexander M. Rush, Stuart M. Shieber:
Adapting Sequence Models for Sentence Correction. CoRR abs/1707.09067 (2017) - [i7]Guillaume Klein, Yoon Kim, Yuntian Deng, Josep Maria Crego, Jean Senellart, Alexander M. Rush:
OpenNMT: Open-source Toolkit for Neural Machine Translation. CoRR abs/1709.03815 (2017) - 2016
- [c28]Yoon Kim, Yacine Jernite, David A. Sontag, Alexander M. Rush
:
Character-Aware Neural Language Models. AAAI 2016: 2741-2749 - [c27]Allen Schmaltz, Yoon Kim, Alexander M. Rush
, Stuart M. Shieber:
Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction. BEA@NAACL-HLT 2016: 242-251 - [c26]Yoon Kim, Alexander M. Rush
:
Sequence-Level Knowledge Distillation. EMNLP 2016: 1317-1327 - [i6]Allen Schmaltz, Yoon Kim, Alexander M. Rush, Stuart M. Shieber:
Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction. CoRR abs/1604.04677 (2016) - [i5]Yoon Kim, Alexander M. Rush:
Sequence-Level Knowledge Distillation. CoRR abs/1606.07947 (2016) - 2015
- [j19]Hayoung Park, Sang-il Lee, Hee Hwang
, Yoon Kim
, Eun-Young Heo, Jeong-Whun Kim, Kyooseob Ha
:
Can a health information exchange save healthcare costs? Evidence from a pilot program in South Korea. Int. J. Medical Informatics 84(9): 658-666 (2015) - [i4]Yoon Kim, Yacine Jernite, David A. Sontag, Alexander M. Rush:
Character-Aware Neural Language Models. CoRR abs/1508.06615 (2015) - 2014
- [c25]Yoon Kim, Yi-I Chiu, Kentaro Hanaki, Darshan Hegde, Slav Petrov:
Temporal Analysis of Language through Neural Language Models. LTCSS@ACL 2014: 61-65 - [c24]Yoon Kim:
Convolutional Neural Networks for Sentence Classification. EMNLP 2014: 1746-1751 - [c23]Yoon Kim, Owen Zhang:
Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text Classification. WASSA@ACL 2014: 79-83 - [i3]Yoon Kim, Yi-I Chiu, Kentaro Hanaki, Darshan Hegde, Slav Petrov:
Temporal Analysis of Language through Neural Language Models. CoRR abs/1405.3515 (2014) - [i2]Yoon Kim, Owen Zhang:
Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text Classification. CoRR abs/1405.3518 (2014) - [i1]Yoon Kim:
Convolutional Neural Networks for Sentence Classification. CoRR abs/1408.5882 (2014) - 2013
- [j18]Yoon Kim:
Functional quantizer design for source localization in sensor networks. EURASIP J. Adv. Signal Process. 2013: 151 (2013) - [j17]Hayoung Park, Sang-il Lee, Yoon Kim, Eun-Young Heo, Jisun Lee, Jung Ho Park, Kyooseob Ha
:
Patients' perceptions of a health information exchange: A pilot program in South Korea. Int. J. Medical Informatics 82(2): 98-107 (2013) - [j16]SunJu Ahn, Stanley M. Huff, Yoon Kim
, Dipak Kalra:
Quality metrics for detailed clinical models. Int. J. Medical Informatics 82(5): 408-417 (2013) - [j15]Daehyun Park, Kanghee Lee, Yoon Kim:
Improved real-time video resizing technique using temporal forward energy. J. Electronic Imaging 22(1): 013007 (2013) - [j14]Ji Bang, Soo-Hee Hwang, EunJung Lee, Yoon Kim
:
The predictability of claim-data-based comorbidity-adjusted models could be improved by using medication data. BMC Medical Informatics Decis. Mak. 13: 128 (2013) - 2012
- [j13]Se Hwan Park, Yoon Kim, Wandong Kim, Joo Yun Seo, Hyungjin Kim
, Byung-Gook Park:
Novel Three Dimensional (3D) NAND Flash Memory Array Having Tied Bit-line and Ground Select Transistor (TiGer). IEICE Trans. Electron. 95-C(5): 837-841 (2012) - 2011
- [c22]Shrikanth S. Narayanan, Erik Bresch, Prasanta Kumar Ghosh, Louis Goldstein, Athanasios Katsamanis, Yoon Kim, Adam C. Lammert, Michael I. Proctor, Vikram Ramanarayanan, Yinghua Zhu:
A Multimodal Real-Time MRI Articulatory Corpus for Speech Research. INTERSPEECH 2011: 837-840 - 2010
- [j12]Seongjae Cho, Jung Hoon Lee, Yoon Kim, Jang-Gn Yun, Hyungcheol Shin, Byung-Gook Park:
Simulation Study on Dependence of Channel Potential Self-Boosting on Device Scale and Doping Concentration in 2-D and 3-D NAND-Type Flash Memory Devices. IEICE Trans. Electron. 93-C(5): 596-601 (2010) - [j11]InSook Cho
, Jeong Ah Kim, Ji Hyun Kim, Hyun Young Kim, Yoon Kim:
Design and implementation of a standards-based interoperable clinical decision support architecture in the context of the Korean EHR. Int. J. Medical Informatics 79(9): 611-622 (2010) - [c21]Sung-Hoon Park, Yoon Kim, Jong-Ho Han, Jong-Sul Park:
Quorum Based Mutual Exclusion in Asynchronous Systems with Unreliable Failure Detectors. ITNG 2010: 499-505 - [c20]JaeHoon Lee, Jeong Ah Kim, InSook Cho
, Yoon Kim:
Integration of Workflow and Rule Engines for Clinical Decision Support Services. MedInfo 2010: 811-815 - [c19]Hyun Young Kim, Ji Hyun Kim, InSook Cho
, Jae-Ho Lee, Yoon Kim:
Verification & Validation of the Knowledge Base for the Hypertension Management CDSS. MedInfo 2010: 1140-1144 - [c18]Sang Hoon Song, Kyoung Un Park
, Junghan Song, Hyeon Young Paik, Chi Woo Lee, Su mi Bang, Joon Seok Hong, Hyun Joo Lee, InSook Cho
, Jeong Ah Kim, Hyun Young Kim, Yoon Kim:
Alerting of Laboratory Critical Values. SUComS 2010: 524-531 - [c17]InSook Cho
, Jeong Ah Kim, Ji-Hyeun Kim, Kyu Seob Ha, Yoon Kim:
Accuracy and Performance Evaluation of a Laboratory Results Alerting. SUComS 2010: 532-540
2000 – 2009
- 2009
- [j10]Yoon Kim, Seongjae Cho, Gil Sung Lee, Il-Han Park, Jong Duk Lee, Hyungcheol Shin, Byung-Gook Park:
3-Dimensional Terraced NAND (3D TNAND) Flash Memory-Stacked Version of Folded NAND Array. IEICE Trans. Electron. 92-C(5): 653-658 (2009) - 2008
- [j9]Jang-Gn Yun, Il-Han Park, Seongjae Cho, Jung Hoon Lee, Doo-Hyun Kim, Gil Sung Lee, Yoon Kim, Jong Duk Lee, Byung-Gook Park:
Characterization of 2-bit Recessed Channel Memory with Lifted-Charge Trapping Node (L-CTN) Scheme. IEICE Trans. Electron. 91-C(5): 742-746 (2008) - 2007
- [j8]Dongmahn Seo, Joahyoung Lee, Yoon Kim, Changyeol Choi, Manbae Kim, Inbum Jung:
Resource consumption-aware QoS in cluster-based VOD servers. J. Syst. Archit. 53(1): 39-52 (2007) - [c16]Dongmahn Seo, Hanmin Bang, Nansook Heo, Inbum Jung, Yoon Kim:
Experimental Evaluation for Scalability and QoS in a VOD System. ICCSA Workshops 2007: 33-38 - [c15]Nansook Heo, Dongsun Lim, Dongmahn Seo, Inbum Jung, Yoon Kim:
Load Distribution Method and Admission control for Streaming Media QoS in Distributed Transcoding Servers. ICCSA Workshops 2007: 39-45 - [c14]EunJung Lee, So Young Kim, InSook Cho, Ji Hyun Kim, Jae-Ho Lee, Yoon Kim:
Needs Assessment for the Computer-interpretable Hypertension Guideline at Public Health Centers in Korea. MedInfo 2007: 1455 - [c13]Ji Hyun Kim, InSook Cho, EunJung Lee, Jae-Ho Lee, Yoon Kim:
Development of Hypertension Management Ontology for Guideline-based Clinical Decision Support System. MedInfo 2007: 1479 - 2006
- [c12]Joahyoung Lee, Dongmahn Seo, Yoon Kim, Changyeol Choi, Hwang Kyu Choi, Inbum Jung:
Thin-Client Computing for Supporting the QoS of Streaming Media in Mobile Devices. ICCSA (2) 2006: 562-571 - [c11]Dongmahn Seo, Joahyoung Lee, Yoon Kim, Changyeol Choi, Hwang Kyu Choi, Inbum Jung:
Load Distribution Strategies in Cluster-Based Transcoding Servers for Mobile Clients. ICCSA (4) 2006: 1156-1165 - [c10]Goo-Rak Kwon, Hyo-Kak Kim, Chun-Soo Park, Yoon Kim, Sung-Jea Ko:
Improved POCS-Based Deblocking Technique Using Wavelet Transform in Block Coded Image. PCM 2006: 676-685 - 2005
- [j7]Goo-Rak Kwon, Hyo-Kak Kim, Yoon Kim, Sung-Jea Ko:
An efficient POCS-based post-processing technique using wavelet transform in HDTV. IEEE Trans. Consumer Electron. 51(4): 1283-1290 (2005) - [c9]Dongmahn Seo, Joahyoung Lee, Dongkook Kim, Yoon Kim, Inbum Jung:
An Effective Failure Recovery Mechanism with Pipeline Computing in Clustered-Based VOD Servers. PCM (2) 2005: 12-23 - [c8]Jae-Young Pyun, Jong Ae Park, Seung Jo Han, Yoon Kim, Sang-Hyun Park:
TCP-Friendly Congestion Control over Heterogeneous Wired/Wireless IP Network. PCM (2) 2005: 489-500 - 2004
- [c7]Sang-Hyun Park, Yoon Kim:
Evaluation of Token Bucket Parameters for VBR MPEG Video. PCM (2) 2004: 423-430 - 2003
- [j6]Young-Ro Kim, Jae-Hwan Kim, Yoon Kim, Sung-Jea Ko:
Semiautomatic Segmentation Using Spatio-Temporal Gradual Region Merging for MPEG-4. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(10): 2526-2534 (2003) - [j5]Jae-Young Pyun, Yoon Kim, Sung-Jea Ko, Hwangjun Song:
Scene-Adaptive Frame-Layer Rate Control for Low Bit Rate Video. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(10): 2618-2622 (2003) - [j4]Jae-Young Pyun, Yoon Kim, Kyunghun Jang, Jong Ae Park, Sung-Jea Ko:
Wireless measurement based resource allocation for QoS provisioning over IEEE 802.11 wireless LAN. IEEE Trans. Consumer Electron. 49(3): 614-620 (2003) - [j3]Yoon Kim, Jae-Young Pyun, Hye-Soo Kim, Sang-Hee Park, Sung-Jea Ko:
Efficient real-time frame layer rate control technique for low bit rate video over WLAN. IEEE Trans. Consumer Electron. 49(3): 621-628 (2003) - [j2]Yoon Kim, Chun-Su Park, Sung-Jea Ko:
Fast POCS based post-processing technique for HDTV. IEEE Trans. Consumer Electron. 49(4): 1438-1447 (2003) - [c6]Jae-Young Pyun, Yoon Kim, Sung-Jea Ko:
Rate Control for Low Bit Rate Video via Enhanced Frame Skipping. ICCSA (1) 2003: 302-311 - [c5]Yoon Kim, Kang-Sun Choi, Jae-Young Pyun, Byung-Tae Choi, Sung-Jea Ko:
A Novel De-interlacing Technique Using Bi-directional Motion Estimation. ICCSA (1) 2003: 957-966 - [c4]Yoon Kim, Chun-Su Park, Kyunghun Jang, Sung-Jea Ko:
Improved POCS-Based De-blocking Algorithm for Block-Transform Compressed Images. ISCIS 2003: 627-634 - 2002
- [j1]Yoon Kim, June-Sok Lee, Aldo W. Morales, Sung-Jea Ko:
A video camera system with enhanced zoom tracking and auto white balance. IEEE Trans. Consumer Electron. 48(3): 428-434 (2002) - 2001
- [c3]Yoon Kim:
Maximum-likelihood affine cepstral filtering (MLACF) technique for speaker normalization. INTERSPEECH 2001: 1211-1214
1990 – 1999
- 1997
- [c2]Horacio Franco, Leonardo Neumeyer, Yoon Kim, Orith Ronen:
Automatic pronunciation scoring for language instruction. ICASSP 1997: 1471-1474 - [c1]Yoon Kim, Horacio Franco, Leonardo Neumeyer:
Automatic pronunciation scoring of specific phone segments for language instruction. EUROSPEECH 1997: 645-648
Coauthor Index
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