Beyond Uniform Detection: Adaptive Hallucination Detection for RAG Across Response Regimes
S. Ryu, J. Park, J. Sohn, J. Moon
NeurIPS
Papers, journals & patents
Y2026: 3 NeurIPS, 2 ICML
Y2025: 2 NeurIPS, 2 ICML, 1 AISTATS, 2 Journal papers
Y2024: 1 UAI, 1 AISTATS, 2 Journal papers
Y2023: 1 ICML, 1 ICLR, 1 AAAI
Conferences (Machine Learning) 22
2026
Same Concept, Different Directions: Cross-Modal Feature Heterogeneity in Sparse Autoencoders
C. Lee, J. Kwon, K. Min, J. Sohn
NeurIPS
Distributional Alignment as a Criterion for Designing Task Vectors in In-Context Learning
J. Kwon, J. Choi, J. Sohn
NeurIPS
Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models
C. Lee, J. Sohn, K. Lee
ICML
How to Correctly Report LLM-as-a-Judge Evaluations
C. Lee, T. Zeng, J. Jeong, J. Sohn, K. Lee
ICML
2025
Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions
J. Kwon, K. Min, J. Sohn
NeurIPS
Soft Task-Aware Routing of Experts for Equivariant Representation Learning
J. Jeon, H. Jang, J. Sohn, K. Lee
NeurIPS
On the Similarities of Embeddings in Contrastive Learning
C. Lee, S. Lim, K. Lee, J. Sohn
ICML
Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective
J. Kim, Y. Kim, J. Sohn
ICML
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
C. Lee, J. Oh, K. Lee, J. Sohn
AISTATS
2024
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks
J. Sohn, D. Kwon, S. An, K. Lee
UAI
Analysis of Using Sigmoid Loss for Contrastive Learning
C. Lee, J. Chang, J. Sohn
AISTATS
2023
Looped Transformers as Programmable Computers
A. Giannou, S. Rajput, J. Sohn, K. Lee, J. D. Lee, D. Papailiopoulos
ICML
Equal Improvability: A New Fairness Notion Considering the Long-term Impact
O. Guldogan, Y. Zeng, J. Sohn, R. Pedarsani, K. Lee
ICLR
Can We Find Strong Lottery Tickets in Generative Models?
S. Yeo, Y. Jang, J. Sohn, D. Han, J. Yoo
AAAI
2022
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks
T. Dinh, Y. Zeng, R. Zhang, Z. Lin, M. Gira, S. Rajput, J. Sohn, D. Papailiopoulos, K. Lee
NeurIPS
Rare Gems: Finding Lottery Tickets at Initialization
K. Sreenivasan, J. Sohn, L. Yang, M. Grinde, A. Nagle, H. Wang, K. Lee, D. Papailiopoulos
NeurIPS
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment
T. Dinh, J. Sohn, S. Rajput, T. Ossowski, Y. Ming, J. Hu, D. Papailiopoulos, K. Lee
Findings of EMNLP
GenLabel: Mixup Relabeling using Generative Models
J. Sohn, L. Shang, H. Chen, J. Moon, D. Papailiopoulos, K. Lee
ICML
Finding Everything within Random Binary Networks
K. Sreenivasan, S. Rajput, J. Sohn, D. Papailiopoulos
AISTATS
2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
H. Wang, K. Sreenivasan, S. Rajput, H. Vishwakarma, S. Agarwal, J. Sohn, K. Lee, D. Papailiopoulos
NeurIPS
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks
J. Sohn, D.-J. Han, B. Choi, J. Moon
NeurIPS
Workshops 7
2024
Can Separators Improve Chain-of-Thought Prompting?
Y. Park, H. Kim, C. Choi, J. Kim, J. Sohn
IEEE FLLM
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification
S. Lim, Y. Kim, C.-H. Choi, J. Sohn, B.-H. Kim
NAACL Workshop
Improving Multi-lingual Alignment Through Soft Contrastive Learning
M. Park, S. Choi, C. Choi, J. Kim, J. Sohn
NAACL Workshop
Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses
J. Kim, J. Lee, Y. Chang, C. Choi, J. Kim, J. Sohn
ICLR Workshop
2023
Retrieval-based Evaluation for LLMs: A Case Study in Korean Legal QA
C. Ryu, S. Lee, S. Pang, C. Choi, H. Choi, M. Min, J. Sohn
EMNLP Workshop
2022
Super Seeds: Extreme Model Compression by Trading off Storage and Computation
N. Lee, J. Sohn, S. Rajput, H. Wang, A. Nagle, E. P. Xing, K. Lee, D. Papailiopoulos
ICML Workshop
2020
GAN-mixup: Augmenting Across Data Manifolds for Improved Robustness
J. Sohn, K. Lee, J. Moon, D. Papailiopoulos
ICML Workshop
Journals 11
2025
Buffer-based Gradient Projection for Continual Federated Learning
S. Dai, J. Sohn, B. Chen, S. Alam, R. Balakrishnan, S. Banerjee, N. Himayat, K. Lee
Transactions on Machine Learning Research
Aligning Large Language Models for Cognitive Behavioral Therapy: A Proof-of-Concept Study
Y. Kim, C. Choi, S. Cho, J. Sohn, B.-H. Kim
Frontiers in Psychiatry
2024
Mini-Batch Optimization of Contrastive Loss
J. Cho, K. Sreenivasan, K. Lee, K. Mun, S. Yi, J.-G. Lee, A. Lee, J. Sohn, D. Papailiopoulos, K. Lee
Transactions on Machine Learning Research
Aligning Large Language Models for Enhancing Psychiatric Interviews through Symptom Delineation and Summarization
J. So, J. Chang, E. Kim, J. Na, J. Choi, J. Sohn, B.-H. Kim, S. H. Chu
JMIR Formative Research
2021
Coded Wireless Distributed Computing with Packet Losses and Retransmissions
D.-J. Han, J. Sohn, J. Moon
IEEE Transactions on Wireless Communications
Hierarchical Broadcast Coding: Expediting Distributed Learning at the Wireless Edge
D.-J. Han, J. Sohn, J. Moon
IEEE Transactions on Wireless Communications
2019
Capacity of Clustered Distributed Storage
J. Sohn, B. Choi, S. W. Yoon, J. Moon
IEEE Transactions on Information Theory
Secure Clustered Distributed Storage Against Eavesdropping
B. Choi, J. Sohn, S. W. Yoon, J. Moon
IEEE Transactions on Information Theory
2018
Combined Window-Filter Waveform Design with Transmitter-Side Channel State Information
D.-J. Han, J. Moon, J. Sohn, S. Jo, J. Kim
IEEE Transactions on Vehicular Technology
2017
Pilot Reuse Strategy Maximizing the Weighted-Sum-Rate in Massive MIMO Systems
J. Sohn, S. W. Yoon, J. Moon
IEEE Journal on Selected Areas in Communications
On Reusing Pilots Across Interfering Cells in Massive MIMO
J. Sohn, S. W. Yoon, J. Moon
IEEE Transactions on Wireless Communications
Conferences (Communications) 10
2022
Breaking Fair Binary Classification with Optimal Flipping Attacks
C. Jo, J. Sohn, K. Lee
IEEE ISIT
2021
TiBroco: A Fast and Secure Distributed Learning Framework for Tiered Wireless Edge Networks
D.-J. Han, J. Sohn, J. Moon
IEEE INFOCOM
2019
Coded Distributed Computing over Packet Erasure Channels
D.-J. Han, J. Sohn, J. Moon
IEEE ISIT
Coded Matrix Multiplication on a Group-Based Model
M. Kim, J. Sohn, J. Moon
IEEE ISIT
Scalable Network-Coded PBFT Consensus Algorithm
B. Choi, J. Sohn, D.-J. Han, J. Moon
IEEE ISIT
2018
Hierarchical Coding for Distributed Computing
H. Park, K. Lee, J. Sohn, C. Suh, J. Moon
IEEE ISIT
A Class of MSR Codes for Clustered Distributed Storage
J. Sohn, B. Choi, J. Moon
IEEE ISIT
2017
Capacity of Clustered Distributed Storage
J. Sohn, B. Choi, S. W. Yoon, J. Moon
IEEE ICC Best Paper Award
Secure Clustered Distributed Storage Against Eavesdroppers
B. Choi, J. Sohn, S. W. Yoon, J. Moon
IEEE ICC
2015
When Pilots Should Not Be Reused Across Interfering Cells in Massive MIMO
J. Sohn, S. W. Yoon, J. Moon
IEEE ICC Workshop on 5G & Beyond
Patents 4
2019
Agreed Data Transmit Method and Apparatus for Transmitting the Agreed Data in Network
J. Moon, B. Choi, J. Sohn, D.-J. Han
KR Patent 10-2019-0071909
2018
Minimum Bandwidth Recovery Encoding Method based on Clustered Dispersion Storage System
J. Moon, J. Sohn
KR Patent 10-2018-0070802
Complete Safety Encoding Method using Minimum Bandwidth based on Clustered Dispersion Storage System
J. Moon, B. Choi, J. Sohn
KR Patent 10-2018-0070803
2015
Pilot Assignment Method on Multi-cell Massive MIMO System
J. Moon, J. Sohn, S. W. Yoon
KR Patent 10-2015-0150928