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ORCIDYoon Kim
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j32]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)- [j31]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) - [j30]Gwiseong Moon, Doohee Lee, Woojin Kim, Yoon Kim, Kun Yong Sung, Hyun-Soo Choi:
Very fast, high-resolution aggregation 3D detection CAM to quickly and accurately find facial fracture areas. Comput. Methods Programs Biomed. 256: 108379 (2024) - [c89]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 - [c88]Jerry Ngo, Yoon Kim:
What Do Language Models Hear? Probing for Auditory Representations in Language Models. ACL (1) 2024: 5435-5448 - [c87]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 - [c86]Zejiang Shen, Hunter Lang, Bailin Wang, Yoon Kim, David A. Sontag:
Learning to Decode Collaboratively with Multiple Language Models. ACL (1) 2024: 12974-12990 - [c85]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 - [c84]Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami:
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment. EMNLP 2024: 1332-1353 - [c83]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. EMNLP 2024: 1419-1436 - [c82]Peter Baile Chen, Yi Zhang, Chunwei Liu, Sejal Gupta, Yoon Kim, Mike Cafarella:
MDCR: A Dataset for Multi-Document Conditional Reasoning. EMNLP (Findings) 2024: 11407-11424 - [c81]Han Guo, William Brandon, Radostin Cholakov, Jonathan Ragan-Kelley, Eric P. Xing, Yoon Kim:
Fast Matrix Multiplications for Lookup Table-Quantized LLMs. EMNLP (Findings) 2024: 12419-12433 - [c80]Dong Won Lee, Hae Park, Yoon Kim, Cynthia Breazeal, Louis-Philippe Morency:
Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents. EMNLP 2024: 15737-15762 - [c79]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 - [c78]Han Guo, Philip Greengard, Eric P. Xing, Yoon Kim:
LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning. ICLR 2024 - [c77]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 - [c76]Ekin Akyürek, Bailin Wang, Yoon Kim, Jacob Andreas:
In-Context Language Learning: Architectures and Algorithms. ICML 2024 - [c75]Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng:
Data Engineering for Scaling Language Models to 128K Context. ICML 2024 - [c74]Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim:
Gated Linear Attention Transformers with Hardware-Efficient Training. ICML 2024 - [c73]Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim:
LangNav: Language as a Perceptual Representation for Navigation. NAACL-HLT (Findings) 2024: 950-974 - [c72]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 - [c71]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 - [c70]Tianhua Zhang, Jiaxin Ge, Hongyin Luo, Yung-Sung Chuang, Mingye Gao, Yuan Gong, Yoon Kim, Xixin Wu, Helen Meng, Jim Glass:
Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning. NAACL-HLT (Findings) 2024: 4131-4155 - [c69]Joshua Gorniak, Yoon Kim, Donglai Wei, Nam Wook Kim:
VizAbility: Enhancing Chart Accessibility with LLM-based Conversational Interaction. UIST 2024: 89:1-89:19 - [i78]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) - [i77]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) - [i76]Ekin Akyürek, Bailin Wang, Yoon Kim, Jacob Andreas:
In-Context Language Learning: Architectures and Algorithms. CoRR abs/2401.12973 (2024) - [i75]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) - [i74]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) - [i73]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) - [i72]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) - [i71]Jerry Ngo, Yoon Kim:
What Do Language Models Hear? Probing for Auditory Representations in Language Models. CoRR abs/2402.16998 (2024) - [i70]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) - [i69]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) - [i68]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) - [i67]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) - [i66]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) - [i65]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) - [i64]Seungwook Han, Idan Shenfeld, Akash Srivastava, Yoon Kim, Pulkit Agrawal:
Value Augmented Sampling for Language Model Alignment and Personalization. CoRR abs/2405.06639 (2024) - [i63]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) - [i62]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) - [i61]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) - [i60]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) - [i59]Jillian Ross, Yoon Kim, Andrew W. Lo:
LLM economicus? Mapping the Behavioral Biases of LLMs via Utility Theory. CoRR abs/2408.02784 (2024) - [i58]James Liu, Pragaash Ponnusamy, Tianle Cai, Han Guo, Yoon Kim, Ben Athiwaratkun:
Training-Free Activation Sparsity in Large Language Models. CoRR abs/2408.14690 (2024) - [i57]Zhaofeng Wu, Xinyan Velocity Yu, Dani Yogatama, Jiasen Lu, Yoon Kim:
The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities. CoRR abs/2411.04986 (2024) - [i56]Ekin Akyürek, Mehul Damani, Linlu Qiu, Han Guo, Yoon Kim, Jacob Andreas:
The Surprising Effectiveness of Test-Time Training for Abstract Reasoning. CoRR abs/2411.07279 (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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