Jy-yong Sohn

80 papers A* 11A 4B 6Journal 52Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models.
CoRR
Chungpa Lee, Jy-yong Sohn, Kangwook Lee
2026 J jnl
Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback.
CoRR
Jungtaek Kim, Thomas Zeng, Ziqian Lin, Minjae Lee, Chungpa Lee, Jy-yong Sohn, Hyung Il Koo, Kangwook Lee
2026 J jnl
Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback.
Trans. Mach. Learn. Res.
Jungtaek Kim, Thomas Zeng, Ziqian Lin, Minjae Lee, Chungpa Lee, Jy-yong Sohn, Hyung Il Koo, Kangwook Lee
2025 A conf
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning.
AISTATS
Chungpa Lee, Jeongheon Oh, Kibok Lee, Jy-yong Sohn
2025 J jnl
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning.
CoRR
Chungpa Lee, Jeongheon Oh, Kibok Lee, Jy-yong Sohn
2025 J jnl
Bridging Language Models and Financial Analysis.
CoRR
Alejandro Lopez-Lira, Jihoon Kwon, Sangwoon Yoon, Jy-yong Sohn, Chanyeol Choi
2025 J jnl
Buffer-based Gradient Projection for Continual Federated Learning.
Trans. Mach. Learn. Res.
Shenghong Dai, Jy-yong Sohn, Yicong Chen, S. M. Iftekharul Alam, Ravikumar Balakrishnan, Suman Banerjee, Nageen Himayat, Kangwook Lee
2025 J jnl
Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions.
CoRR
Jihoon Kwon, Kyle Min, Jy-yong Sohn
2025 — conf
FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation.
ICAIF
Chanyeol Choi, Jihoon Kwon, Jaeseon Ha, Hojun Choi, Chaewoon Kim, Yongjae Lee, Jy-yong Sohn, Alejandro Lopez-Lira
2025 J jnl
FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation.
CoRR
Chanyeol Choi, Jihoon Kwon, Jaeseon Ha, Hojun Choi, Chaewoon Kim, Yongjae Lee, Jy-yong Sohn, Alejandro Lopez-Lira
2025 J jnl
How to Correctly Report LLM-as-a-Judge Evaluations.
CoRR
Chungpa Lee, Thomas Zeng, Jongwon Jeong, Jy-yong Sohn, Kangwook Lee
2025 A* conf
Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective.
ICML
Joonkyu Kim, Yejin Kim, Jy-yong Sohn
2025 A* conf
On the Similarities of Embeddings in Contrastive Learning.
ICML
Chungpa Lee, Sehee Lim, Kibok Lee, Jy-yong Sohn
2025 J jnl
On the Similarities of Embeddings in Contrastive Learning.
CoRR
Chungpa Lee, Sehee Lim, Kibok Lee, Jy-yong Sohn
2025 J jnl
Soft Task-Aware Routing of Experts for Equivariant Representation Learning.
CoRR
Jaebyeong Jeon, Hyeonseo Jang, Jy-yong Sohn, Kibok Lee
2025 J jnl
Understanding the behavior of representation forgetting in continual learning.
CoRR
Joonkyu Kim, Yejin Kim, Jy-yong Sohn
2024 J jnl
Aligning Large Language Models for Enhancing Psychiatric Interviews through Symptom Delineation and Summarization.
CoRR
Jae-Hee So, Joonhwan Chang, Eunji Kim, Junho Na, JiYeon Choi, Jy-yong Sohn, Byung-Hoon Kim, Sang Hui Chu
2024 A conf
Analysis of Using Sigmoid Loss for Contrastive Learning.
AISTATS
Chungpa Lee, Joonhwan Chang, Jy-yong Sohn
2024 J jnl
Analysis of Using Sigmoid Loss for Contrastive Learning.
CoRR
Chungpa Lee, Joonhwan Chang, Jy-yong Sohn
2024 J jnl
Buffer-based Gradient Projection for Continual Federated Learning.
CoRR
Shenghong Dai, Jy-yong Sohn, Yicong Chen, S. M. Iftekharul Alam, Ravikumar Balakrishnan, Suman Banerjee, Nageen Himayat, Kangwook Lee
2024 — conf
Can Separators Improve Chain-of-Thought Prompting?
FLLM
Yoonjeong Park, Hyunjin Kim, Chanyeol Choi, Junseong Kim, Jy-yong Sohn
2024 J jnl
Can Separators Improve Chain-of-Thought Prompting?
CoRR
Yoonjeong Park, Hyunjin Kim, Chanyeol Choi, Junseong Kim, Jy-yong Sohn
2024 — conf
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification.
ClinicalNLP@NAACL
Sehee Lim, Yejin Kim, Chi-Hyun Choi, Jy-yong Sohn, Byung-Hoon Kim
2024 J jnl
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification.
CoRR
Sehee Lim, Yejin Kim, Chi-Hyun Choi, Jy-yong Sohn, Byung-Hoon Kim
2024 — conf
Improving Multi-lingual Alignment Through Soft Contrastive Learning.
NAACL (Student Research Workshop)
Minsu Park, Seyeon Choi, Chanyeol Choi, Jun-Seong Kim, Jy-yong Sohn
2024 J jnl
Improving Multi-lingual Alignment Through Soft Contrastive Learning.
CoRR
Minsu Park, Seyeon Choi, Chanyeol Choi, Junseong Kim, Jy-yong Sohn
2024 J jnl
Linq-Embed-Mistral Technical Report.
CoRR
Chanyeol Choi, Junseong Kim, Seolhwa Lee, Jihoon Kwon, Sangmo Gu, Yejin Kim, Minkyung Cho, Jy-yong Sohn
2024 A conf
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks.
UAI
Jy-yong Sohn, Dohyun Kwon, Seoyeon An, Kangwook Lee
2024 J jnl
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks.
CoRR
Jy-yong Sohn, Dohyun Kwon, Seoyeon An, Kangwook Lee
2024 J jnl
Mini-Batch Optimization of Contrastive Loss.
Trans. Mach. Learn. Res.
Jaewoong Cho, Kartik Sreenivasan, Keon Lee, Kyunghoo Mun, Soheun Yi, Jeong-Gwan Lee, Anna Lee, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee
2024 J jnl
Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses.
CoRR
Juyeon Kim, Jeongeun Lee, Yoonho Chang, Chanyeol Choi, Junseong Kim, Jy-yong Sohn
2023 A* conf
Can We Find Strong Lottery Tickets in Generative Models?
AAAI
Sangyeop Yeo, Yoojin Jang, Jy-yong Sohn, Dongyoon Han, Jaejun Yoo
2023 A* conf
Equal Improvability: A New Fairness Notion Considering the Long-term Impact.
ICLR
Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee
2023 A* conf
Looped Transformers as Programmable Computers.
ICML
Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris Papailiopoulos
2023 J jnl
Looped Transformers as Programmable Computers.
CoRR
Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris S. Papailiopoulos
2023 J jnl
Mini-Batch Optimization of Contrastive Loss.
CoRR
Jaewoong Cho, Kartik Sreenivasan, Keon Lee, Kyunghoo Mun, Soheun Yi, Jeong-Gwan Lee, Anna Lee, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee
2022 B conf
Breaking Fair Binary Classification with Optimal Flipping Attacks.
ISIT
Changhun Jo, Jy-yong Sohn, Kangwook Lee
2022 J jnl
Breaking Fair Binary Classification with Optimal Flipping Attacks.
CoRR
Changhun Jo, Jy-yong Sohn, Kangwook Lee
2022 J jnl
Can We Find Strong Lottery Tickets in Generative Models?
CoRR
Sangyeop Yeo, Yoojin Jang, Jy-yong Sohn, Dongyoon Han, Jaejun Yoo
2022 J jnl
Equal Improvability: A New Fairness Notion Considering the Long-term Impact.
CoRR
Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee
2022 A conf
Finding Nearly Everything within Random Binary Networks.
AISTATS
Kartik Sreenivasan, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos
2022 A* conf
GenLabel: Mixup Relabeling using Generative Models.
ICML
Jy-yong Sohn, Liang Shang, Hongxu Chen, Jaekyun Moon, Dimitris S. Papailiopoulos, Kangwook Lee
2022 J jnl
GenLabel: Mixup Relabeling using Generative Models.
CoRR
Jy-yong Sohn, Liang Shang, Hongxu Chen, Jaekyun Moon, Dimitris S. Papailiopoulos, Kangwook Lee
2022 J jnl
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks.
CoRR
Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee
2022 A* conf
LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks.
NeurIPS
Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee
2022 A* conf
Rare Gems: Finding Lottery Tickets at Initialization.
NeurIPS
Kartik Sreenivasan, Jy-yong Sohn, Liu Yang, Matthew Grinde, Alliot Nagle, Hongyi Wang, Eric P. Xing, Kangwook Lee, Dimitris S. Papailiopoulos
2022 J jnl
Rare Gems: Finding Lottery Tickets at Initialization.
CoRR
Kartik Sreenivasan, Jy-yong Sohn, Liu Yang, Matthew Grinde, Alliot Nagle, Hongyi Wang, Kangwook Lee, Dimitris S. Papailiopoulos
2022 — conf
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment.
EMNLP (Findings)
Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee
2022 J jnl
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment.
CoRR
Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee
2021 J jnl
Coded Wireless Distributed Computing With Packet Losses and Retransmissions.
IEEE Trans. Wirel. Commun.
Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon
2021 J jnl
Finding Everything within Random Binary Networks.
CoRR
Kartik Sreenivasan, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos
2021 J jnl
Hierarchical Broadcast Coding: Expediting Distributed Learning at the Wireless Edge.
IEEE Trans. Wirel. Commun.
Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon
2021 A* conf
TiBroco: A Fast and Secure Distributed Learning Framework for Tiered Wireless Edge Networks.
INFOCOM
Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon
2020 A* conf
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning.
NeurIPS
Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris S. Papailiopoulos
2020 J jnl
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning.
CoRR
Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris S. Papailiopoulos
2020 J jnl
Communication-Computation Efficient Secure Aggregation for Federated Learning.
CoRR
Beongjun Choi, Jy-yong Sohn, Dong-Jun Han, Jaekyun Moon
2020 A* conf
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks.
NeurIPS
Jy-yong Sohn, Dong-Jun Han, Beongjun Choi, Jaekyun Moon
2019 J jnl
Capacity of Clustered Distributed Storage.
IEEE Trans. Inf. Theory
Jy-yong Sohn, Beongjun Choi, Sung Whan Yoon, Jaekyun Moon
2019 B conf
Coded Distributed Computing over Packet Erasure Channels.
ISIT
Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon
2019 J jnl
Coded Distributed Computing over Packet Erasure Channels.
CoRR
Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon
2019 B conf
Coded Matrix Multiplication on a Group-Based Model.
ISIT
Muah Kim, Jy-yong Sohn, Jaekyun Moon
2019 J jnl
Coded Matrix Multiplication on a Group-Based Model.
CoRR
Muah Kim, Jy-yong Sohn, Jaekyun Moon
2019 J jnl
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks.
CoRR
Jy-yong Sohn, Dong-Jun Han, Beongjun Choi, Jaekyun Moon
2019 B conf
Scalable Network-Coded PBFT Consensus Algorithm.
ISIT
Beongjun Choi, Jy-yong Sohn, Dong-Jun Han, Jaekyun Moon
2019 J jnl
Secure Clustered Distributed Storage Against Eavesdropping.
IEEE Trans. Inf. Theory
Beongjun Choi, Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon
2018 B conf
A Class of MSR Codes for Clustered Distributed Storage.
ISIT
Jy-yong Sohn, Beongjun Choi, Jaekyun Moon
2018 J jnl
A Class of MSR Codes for Clustered Distributed Storage.
CoRR
Jy-yong Sohn, Beongjun Choi, Jaekyun Moon
2018 J jnl
Combined Window-Filter Waveform Design With Transmitter-Side Channel State Information.
IEEE Trans. Veh. Technol.
Dong-Jun Han, Jaekyun Moon, Jy-yong Sohn, Sunyoung Jo, Jang Hun Kim
2018 J jnl
Explicit Construction of MBR Codes for Clustered Distributed Storage.
CoRR
Jy-yong Sohn, Jaekyun Moon
2018 B conf
Hierarchical Coding for Distributed Computing.
ISIT
Hyegyeong Park, Kangwook Lee, Jy-yong Sohn, Changho Suh, Jaekyun Moon
2018 J jnl
Hierarchical Coding for Distributed Computing.
CoRR
Hyegyeong Park, Kangwook Lee, Jy-yong Sohn, Changho Suh, Jaekyun Moon
2017 J jnl
Capacity of Clustered Distributed Storage.
CoRR
Jy-yong Sohn, Beongjun Choi, Sung Whan Yoon, Jaekyun Moon
2017 — conf
Capacity of clustered distributed storage.
ICC
Jy-yong Sohn, Beongjun Choi, Sung Whan Yoon, Jaekyun Moon
2017 J jnl
On Reusing Pilots Among Interfering Cells in Massive MIMO.
CoRR
Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon
2017 J jnl
On Reusing Pilots Among Interfering Cells in Massive MIMO.
IEEE Trans. Wirel. Commun.
Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon
2017 J jnl
Pilot Reuse Strategy Maximizing the Weighted-Sum-Rate in Massive MIMO Systems.
CoRR
Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon
2017 J jnl
Pilot Reuse Strategy Maximizing the Weighted-Sum-Rate in Massive MIMO Systems.
IEEE J. Sel. Areas Commun.
Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon
2017 J jnl
Secure Clustered Distributed Storage Against Eavesdroppers.
CoRR
Beongjun Choi, Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon
2017 — conf
Secure clustered distributed storage against eavesdroppers.
ICC
Beongjun Choi, Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon
2016 J jnl
Capacity of Clustered Distributed Storage.
CoRR
Jy-yong Sohn, Beongjun Choi, Sung Whan Yoon, Jaekyun Moon