Kyunghyun Cho

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 395

Top Venues

Aalto University, Helsinki, Finland (PHD)

Education History

Aalto University, Helsinki, Finland

PHD

Publications

Naomi Saphra, Eve Fleisig, Kyunghyun Cho, Adam Lopez
First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models. NAACL-HLT (2024)
Richard Yuanzhe Pang, Stephen Roller, Kyunghyun Cho, He He, Jason Weston
Leveraging Implicit Feedback from Deployment Data in Dialogue. EACL (2) (2024)
Richard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, He He, Sainbayar Sukhbaatar, Jason Weston
Iterative Reasoning Preference Optimization. CoRR (2024)
Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun
𝕏-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs. CoRR (2024)
Aya Abdelsalam Ismail, Julius Adebayo, Héctor Corrada Bravo, Stephen Ra, Kyunghyun Cho
Concept Bottleneck Generative Models. ICLR (2024)
Samuel Stanton, Robert Alberstein, Nathan C. Frey, Andrew M. Watkins, Kyunghyun Cho
Closed-Form Test Functions for Biophysical Sequence Optimization Algorithms. CoRR (2024)
Siavash Golkar, Alberto Bietti, Mariel Pettee, Michael Eickenberg, Miles D. Cranmer, Keiya Hirashima, Géraud Krawezik, Nicholas Lourie, Michael McCabe, Rudy Morel, Ruben Ohana, Liam Holden Parker, Bruno Régaldo-Saint Blancard, Kyunghyun Cho, Shirley Ho
Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task. CoRR (2024)
Saksham Bassi, Duygu Ataman, Kyunghyun Cho
Generalization Measures for Zero-Shot Cross-Lingual Transfer. CoRR (2024)
Sungmin Cha, Kyunghyun Cho
Hyperparameters in Continual Learning: a Reality Check. CoRR (2024)
Weizhe Yuan, Kyunghyun Cho, Jason Weston
System-Level Natural Language Feedback. EACL (1) (2024)
Nathan C. Frey, Daniel Berenberg, Karina Zadorozhny, Joseph Kleinhenz, Julien Lafrance-Vanasse, Isidro Hötzel, Yan Wu, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Andreas Loukas, Vladimir Gligorijevic, Saeed Saremi
Protein Discovery with Discrete Walk-Jump Sampling. ICLR (2024)
Angelica Chen, Ravid Shwartz-Ziv, Kyunghyun Cho, Matthew L. Leavitt, Naomi Saphra
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs. ICLR (2024)
Deokjae Lee, Hyun Oh Song, Kyunghyun Cho
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization. CoRR (2024)
Yatong Bai, Utsav Garg, Apaar Shanker, Haoming Zhang, Samyak Parajuli, Erhan Bas, Isidora Filipovic, Amelia N. Chu, Eugenia D. Fomitcheva, Elliot Branson, Aerin Kim, Somayeh Sojoudi, Kyunghyun Cho
Let's Go Shopping (LGS) - Web-Scale Image-Text Dataset for Visual Concept Understanding. CoRR (2024)
Sonia Castelo, João Rulff, Erin McGowan, Bea Steers, Guande Wu, Shaoyu Chen, Irán R. Román, Roque Lopez, Ethan Brewer, Chen Zhao, Jing Qian, Kyunghyun Cho, He He, Qi Sun, Huy T. Vo, Juan Pablo Bello, Michael Krone, Cláudio T. Silva
: Visualization of AI-Assisted Task Guidance in AR. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Natasa Tagasovska, Vladimir Gligorijevic, Kyunghyun Cho, Andreas Loukas
Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient. CoRR (2024)
Nathan H. Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho
Blind Biological Sequence Denoising with Self-Supervised Set Learning. Trans. Mach. Learn. Res. 2024 (2024)
Angelica Chen, Jérémy Scheurer, Jon Ander Campos, Tomasz Korbak, Jun Shern Chan, Samuel R. Bowman, Kyunghyun Cho, Ethan Perez
Learning from Natural Language Feedback. Trans. Mach. Learn. Res. 2024 (2024)
Angelica Chen, Jason Phang, Alicia Parrish, Vishakh Padmakumar, Chen Zhao, Samuel R. Bowman, Kyunghyun Cho
Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs. Trans. Mach. Learn. Res. 2024 (2024)
Kyumin Park, Myung Jae Baik, YeongJun Hwang, Yen Shin, HoJae Lee, Ruda Lee, Sang Min Lee, Je Young Hannah Sun, Ah Rah Lee, Si Yeun Yoon, Dong-Ho Lee, Jihyung Moon, JinYeong Bak, Kyunghyun Cho, Jong-Woo Paik, Sungjoon Park
Harmful Suicide Content Detection. CoRR (2024)
Haresh Rengaraj Rajamohan, Richard Kijowski, Kyunghyun Cho, Cem M. Deniz
Modified Risk Formulation for Improving the Prediction of Knee Osteoarthritis Progression. CoRR (2024)
Natasa Tagasovska, Ji Won Park, Matthieu Kirchmeyer, Nathan C. Frey, Andrew Martin Watkins, Aya Abdelsalam Ismail, Arian Rokkum Jamasb, Edith Lee, Tyler Bryson, Stephen Ra, Kyunghyun Cho
Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design. CoRR (2024)
Weizhe Yuan, Ilia Kulikov, Ping Yu, Kyunghyun Cho, Sainbayar Sukhbaatar, Jason Weston, Jing Xu
Following Length Constraints in Instructions. CoRR (2024)
Chaojie Zhang, Shengjia Chen, Ozkan Cigdem, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz
MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging. CoRR (2024)
Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Sainbayar Sukhbaatar, Jing Xu, Jason Weston
Self-Rewarding Language Models. CoRR (2024)
Nicholas Lourie, Kyunghyun Cho, He He
Show Your Work with Confidence: Confidence Bands for Tuning Curves. NAACL-HLT (2024)
Kyunghyun Cho
A Brief Introduction to Causal Inference in Machine Learning. CoRR (2024)
Taeyeon Kim, Hyun-Song Kwon, Kyunghyun Cho, Woontack Woo
Holistic Patient Assessment System using Digital Twin for XR Medical Teleconsultation. AHs (2024)
Divyam Madaan, Taro Makino, Sumit Chopra, Kyunghyun Cho
A Framework for Multi-modal Learning: Jointly Modeling Inter- & Intra-Modality Dependencies. CoRR (2024)
Angelica Chen, Sadhika Malladi, Lily H. Zhang, Xinyi Chen, Qiuyi Zhang, Rajesh Ranganath, Kyunghyun Cho
Preference Learning Algorithms Do Not Learn Preference Rankings. CoRR (2024)
Yeonji Lee, Sangjun Park, Kyunghyun Cho, JinYeong Bak
MentalAgora: A Gateway to Advanced Personalized Care in Mental Health through Multi-Agent Debating and Attribute Control. CoRR (2024)
Michael McCabe, Bruno Régaldo-Saint Blancard, Liam Holden Parker, Ruben Ohana, Miles D. Cranmer, Alberto Bietti, Michael Eickenberg, Siavash Golkar, Géraud Krawezik, François Lanusse, Mariel Pettee, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
Multiple Physics Pretraining for Physical Surrogate Models. CoRR (2023)
Sonia Castelo, João Rulff, Erin McGowan, Bea Steers, Guande Wu, Shaoyu Chen, Irán R. Román, Roque Lopez, Ethan Brewer, Chen Zhao, Jing Qian, Kyunghyun Cho, He He, Qi Sun, Huy T. Vo, Juan Pablo Bello, Michael Krone, Cláudio T. Silva
ARGUS: Visualization of AI-Assisted Task Guidance in AR. CoRR (2023)
Max W. Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, Kyunghyun Cho, Tommaso Biancalani
Towards Understanding and Improving GFlowNet Training. CoRR (2023)
Eugene Choi, Kyunghyun Cho, Cheolhyoung Lee
A Non-monotonic Self-terminating Language Model. ICLR (2023)
Weizhe Yuan, Kyunghyun Cho, Jason Weston
System-Level Natural Language Feedback. CoRR (2023)
Siavash Golkar, Mariel Pettee, Michael Eickenberg, Alberto Bietti, Miles D. Cranmer, Géraud Krawezik, François Lanusse, Michael McCabe, Ruben Ohana, Liam Holden Parker, Bruno Régaldo-Saint Blancard, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
xVal: A Continuous Number Encoding for Large Language Models. CoRR (2023)
Karolis Martinkus, Jan Ludwiczak, Kyunghyun Cho, Wei-Ching Liang, Julien Lafrance-Vanasse, Isidro Hötzel, Arvind Rajpal, Yan Wu, Richard Bonneau, Vladimir Gligorijevic, Andreas Loukas
AbDiffuser: Full-Atom Generation of In-Vitro Functioning Antibodies. CoRR (2023)
Nate Gruver, Samuel Stanton, Nathan C. Frey, Tim G. J. Rudner, Isidro Hötzel, Julien Lafrance-Vanasse, Arvind Rajpal, Kyunghyun Cho, Andrew Gordon Wilson
Protein Design with Guided Discrete Diffusion. NeurIPS (2023)
Nicholas Lourie, Kyunghyun Cho, He He
Show Your Work with Confidence: Confidence Bands for Tuning Curves. CoRR (2023)
Hyunjin Kim, Jinyeong Bak, Kyunghyun Cho, Hyungjoon Koo
A Transformer-based Function Symbol Name Inference Model from an Assembly Language for Binary Reversing. AsiaCCS (2023)
Nate Gruver, Samuel Stanton, Nathan C. Frey, Tim G. J. Rudner, Isidro Hötzel, Julien Lafrance-Vanasse, Arvind Rajpal, Kyunghyun Cho, Andrew Gordon Wilson
Protein Design with Guided Discrete Diffusion. CoRR (2023)
Taro Makino, Yixin Wang, Krzysztof J. Geras, Kyunghyun Cho
Detecting incidental correlation in multimodal learning via latent variable modeling. Trans. Mach. Learn. Res. 2023 (2023)
Cal Peyser, Ronny Huang, Tara N. Sainath, Rohit Prabhavalkar, Michael Picheny, Kyunghyun Cho
Dual Learning for Large Vocabulary On-Device ASR. CoRR (2023)
Karolis Martinkus, Jan Ludwiczak, Wei-Ching Liang, Julien Lafrance-Vanasse, Isidro Hötzel, Arvind Rajpal, Yan Wu, Kyunghyun Cho, Richard Bonneau, Vladimir Gligorijevic, Andreas Loukas
AbDiffuser: full-atom generation of in-vitro functioning antibodies. NeurIPS (2023)
Hongyi Zheng, Yixin Zhu, Lavender Y. Jiang, Kyunghyun Cho, Eric K. Oermann
Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section. ACL (student) (2023)
Nathan C. Frey, Daniel Berenberg, Karina Zadorozhny, Joseph Kleinhenz, Julien Lafrance-Vanasse, Isidro Hötzel, Yan Wu, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Andreas Loukas, Vladimir Gligorijevic, Saeed Saremi
Protein Discovery with Discrete Walk-Jump Sampling. CoRR (2023)
Richard Yuanzhe Pang, Stephen Roller, Kyunghyun Cho, He He, Jason Weston
Leveraging Implicit Feedback from Deployment Data in Dialogue. CoRR (2023)
Cal Peyser, Michael Picheny, Kyunghyun Cho, Rohit Prabhavalkar, W. Ronny Huang, Tara N. Sainath
A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale. ICASSP (2023)
François Lanusse, Liam Holden Parker, Siavash Golkar, Miles D. Cranmer, Alberto Bietti, Michael Eickenberg, Géraud Krawezik, Michael McCabe, Ruben Ohana, Mariel Pettee, Bruno Régaldo-Saint Blancard, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models. CoRR (2023)
Cheolhyoung Lee, Kyunghyun Cho
Unsupervised Learning of Initialization in Deep Neural Networks via Maximum Mean Discrepancy. CoRR (2023)
Max W. Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, Kyunghyun Cho, Tommaso Biancalani
Towards Understanding and Improving GFlowNet Training. ICML (2023)
Divyam Madaan, Daniel K. Sodickson, Kyunghyun Cho, Sumit Chopra
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis. CoRR (2023)
Alexander Goldberg, Ivan Stelmakh, Kyunghyun Cho, Alice H. Oh, Alekh Agarwal, Danielle Belgrave, Nihar B. Shah
Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments. CoRR (2023)
Michael Y. Hu, Angelica Chen, Naomi Saphra, Kyunghyun Cho
Latent State Models of Training Dynamics. CoRR (2023)
Lavender Yao Jiang, Xujin Chris Liu, Nima Pour Nejatian, Mustafa Nasir-Moin, Duo Wang, Anas Z. Abidin, Kevin Eaton, Howard Antony Riina, Ilya Laufer, Paawan Punjabi, Madeline Miceli, Nora C. Kim, Cordelia Orillac, Zane Schnurman, Christopher Livia, Hannah Weiss, David Kurland, Sean Neifert, Yosef Dastagirzada, Douglas Kondziolka, Alexander T. M. Cheung, Grace Yang, Ming Cao, Mona Flores, Anthony B. Costa, Yindalon Aphinyanaphongs, Kyunghyun Cho, Eric Karl Oermann
Health system-scale language models are all-purpose prediction engines. Nat. 619 (7969) (2023)
Daniel Jiwoong Im, Kyunghyun Cho
Active and Passive Causal Inference Learning. CoRR (2023)
Cal Peyser, Zhong Meng, Ke Hu, Rohit Prabhavalkar, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho
Improving Joint Speech-Text Representations Without Alignment. CoRR (2023)
Naomi Saphra, Eve Fleisig, Kyunghyun Cho, Adam Lopez
First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models. CoRR (2023)
Angelica Chen, Jérémy Scheurer, Tomasz Korbak, Jon Ander Campos, Jun Shern Chan, Samuel R. Bowman, Kyunghyun Cho, Ethan Perez
Improving Code Generation by Training with Natural Language Feedback. CoRR (2023)
Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. ACL (1) (2023)
Micah Goldblum, Anima Anandkumar, Richard G. Baraniuk, Tom Goldstein, Kyunghyun Cho, Zachary C. Lipton, Melanie Mitchell, Preetum Nakkiran, Max Welling, Andrew Gordon Wilson
Perspectives on the State and Future of Deep Learning - 2023. CoRR (2023)
Angelica Chen, Jason Phang, Alicia Parrish, Vishakh Padmakumar, Chen Zhao, Samuel R. Bowman, Kyunghyun Cho
Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs. CoRR (2023)
Cal Peyser, Zhong Meng, Rohit Prabhavalkar, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho, Ke Hu
Improving Joint Speech-Text Representations Without Alignment. INTERSPEECH (2023)
Romain Lopez, Natasa Tagasovska, Stephen Ra, Kyunghyun Cho, Jonathan K. Pritchard, Aviv Regev
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling. CLeaR (2023)
Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, João Sedoc, Naomi Saphra
Linear Connectivity Reveals Generalization Strategies. ICLR (2023)
Michael Y. Hu, Angelica Chen, Naomi Saphra, Kyunghyun Cho
Latent State Models of Training Dynamics. Trans. Mach. Learn. Res. 2023 (2023)
Divyam Madaan, Daniel K. Sodickson, Kyunghyun Cho, Sumit Chopra
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis. MIDL (2023)
Nathan Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho
Blind Biological Sequence Denoising with Self-Supervised Set Learning. CoRR (2023)
Angelica Chen, Ravid Schwartz-Ziv, Kyunghyun Cho, Matthew L. Leavitt, Naomi Saphra
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs. CoRR (2023)
Hongyi Zheng, Yixin Zhu, Lavender Yao Jiang, Kyunghyun Cho, Eric Karl Oermann
Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section. CoRR (2023)
Cal Peyser, Michael Picheny, Kyunghyun Cho, Rohit Prabhavalkar, W. Ronny Huang, Tara N. Sainath
A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale. CoRR (2023)
Ji Won Park, Natasa Tagasovska, Michael Maser, Stephen Ra, Kyunghyun Cho
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks. CoRR (2023)
Won-Ik Cho, Eunjung Cho, Kyunghyun Cho
PaperCard for Reporting Machine Assistance in Academic Writing. CoRR (2023)
Nathan H. Ng, Neha Hulkund, Kyunghyun Cho, Marzyeh Ghassemi
Predicting Out-of-Domain Generalization with Neighborhood Invariance. Trans. Mach. Learn. Res. 2023 (2023)
Zihao Yang, Chenkang Zhang, Muru Wu, Xujin Liu, Lavender Y. Jiang, Kyunghyun Cho, Eric K. Oermann
Intriguing Effect of the Correlation Prior on ICD-9 Code Assignment. ACL (student) (2023)
Jérémy Scheurer, Jon Ander Campos, Tomasz Korbak, Jun Shern Chan, Angelica Chen, Kyunghyun Cho, Ethan Perez
Training Language Models with Language Feedback at Scale. CoRR (2023)
Sang-Woo Lee, Sungdong Kim, Donghyeon Ko, Donghoon Ham, Youngki Hong, Shin Ah Oh, Hyunhoon Jung, Wangkyo Jung, Kyunghyun Cho, Dong-Hyun Kwak, Hyungsuk Noh, Woo-Myoung Park
Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild? CoRR (2022)
Eugene Choi, Cheolhyoung Lee, Kyunghyun Cho
A Non-monotonic Self-terminating Language Model. CoRR (2022)
Ji Won Park, Samuel Stanton, Saeed Saremi, Andrew M. Watkins, Henri Dwyer, Vladimir Gligorijevic, Richard Bonneau, Stephen Ra, Kyunghyun Cho
PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design. CoRR (2022)
Nan Wu, Stanislaw Jastrzebski, Kyunghyun Cho, Krzysztof J. Geras
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks. ICML (2022)
Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, João Sedoc, Naomi Saphra
Linear Connectivity Reveals Generalization Strategies. CoRR (2022)
Vlad Sobal, Jyothir S. V, Siddhartha Jalagam, Nicolas Carion, Kyunghyun Cho, Yann LeCun
Joint Embedding Predictive Architectures Focus on Slow Features. CoRR (2022)
Nathan Ng, Neha Hulkund, Kyunghyun Cho, Marzyeh Ghassemi
Predicting Out-of-Domain Generalization with Local Manifold Smoothness. CoRR (2022)
Nan Wu, Stanislaw Jastrzebski, Kyunghyun Cho, Krzysztof J. Geras
Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks. CoRR (2022)
Ren Yi, Kyunghyun Cho, Richard Bonneau
NetTIME: a multitask and base-pair resolution framework for improved transcription factor binding site prediction. Bioinform. 38 (20) (2022)
Ilia Kulikov, Maksim Eremeev, Kyunghyun Cho
Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling. AACL/IJCNLP (1) (2022)
Jérémy Scheurer, Jon Ander Campos, Jun Shern Chan, Angelica Chen, Kyunghyun Cho, Ethan Perez
Learning from Natural Language Feedback. CoRR (2022)
Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. CoRR (2022)
Cal Peyser, Ronny Huang, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho
Towards Disentangled Speech Representations. CoRR (2022)
Grace Yang, Ming Cao, Lavender Y. Jiang, Xujin C. Liu, Alexander T. M. Cheung, Hannah Weiss, David Kurland, Kyunghyun Cho, Eric K. Oermann
Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction. CoRR (2022)
Haneul Yoo, Jiho Jin, Juhee Son, JinYeong Bak, Kyunghyun Cho, Alice Oh
HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea. CoRR (2022)
Seongjin Shin, Sang-Woo Lee, Hwijeen Ahn, Sungdong Kim, HyoungSeok Kim, Boseop Kim, Kyunghyun Cho, Gichang Lee, Woo-Myoung Park, Jung-Woo Ha, Nako Sung
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model. NAACL-HLT (2022)
Hongwei Wang, Weijiang Li, Xiaomeng Jin, Kyunghyun Cho, Heng Ji, Jiawei Han, Martin D. Burke
Chemical-Reaction-Aware Molecule Representation Learning. ICLR (2022)
Taro Makino, Krzysztof J. Geras, Kyunghyun Cho
Generative multitask learning mitigates target-causing confounding. NeurIPS (2022)
Carl Edwards, Tuan Lai, Kevin Ros, Garrett Honke, Kyunghyun Cho, Heng Ji
Translation between Molecules and Natural Language. EMNLP (2022)
Juhee Son, Jiho Jin, Haneul Yoo, JinYeong Bak, Kyunghyun Cho, Alice Oh
Translating Hanja Historical Documents to Contemporary Korean and English. EMNLP (Findings) (2022)
Ningyuan Huang, Yash R. Deshpande, Yibo Liu, Houda Alberts, Kyunghyun Cho, Clara Vania, Iacer Calixto
Endowing Language Models with Multimodal Knowledge Graph Representations. CoRR (2022)
Cal Peyser, W. Ronny Huang, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho
Towards Disentangled Speech Representations. INTERSPEECH (2022)
Haneul Yoo, Jiho Jin, Juhee Son, JinYeong Bak, Kyunghyun Cho, Alice Oh
HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea. NAACL-HLT (Findings) (2022)

Kyunghyun Cho.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Kyunghyun Cho