Sukjin Hong

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Query Expansion

Language Models For Information Retrieval

Language Modelling

Top Venues

EACL (Findings)

Publications

Janghwan Lee, Seongmin Park, Sukjin Hong, Minsoo Kim, Du-Seong Chang, Jungwook Choi
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment. ACL (1) (2024)
Janghwan Lee, Seongmin Park, Sukjin Hong, Minsoo Kim, Du-Seong Chang, Jungwook Choi
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment. CoRR (2024)
Jongwoo Ko, Seungjoon Park, Minchan Jeong, Sukjin Hong, Euijai Ahn, Du-Seong Chang, Se-Young Yun
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective. CoRR (2023)
Minsoo Kim, Sihwa Lee, Janghwan Lee, Sukjin Hong, Du-Seong Chang, Wonyong Sung, Jungwook Choi
Token-Scaled Logit Distillation for Ternary Weight Generative Language Models. CoRR (2023)
Jongwoo Ko, Seungjoon Park, Minchan Jeong, Sukjin Hong, Euijai Ahn, Du-Seong Chang, Se-Young Yun
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective. EACL (Findings) (2023)
Minsoo Kim, Sihwa Lee, Janghwan Lee, Sukjin Hong, Du-Seong Chang, Wonyong Sung, Jungwook Choi
Token-Scaled Logit Distillation for Ternary Weight Generative Language Models. NeurIPS (2023)
Minsoo Kim, Sihwa Lee, Sukjin Hong, Du-Seong Chang, Jungwook Choi
Understanding and Improving Knowledge Distillation for Quantization Aware Training of Large Transformer Encoders. EMNLP (2022)
Minsoo Kim, Sihwa Lee, Sukjin Hong, Du-Seong Chang, Jungwook Choi
Understanding and Improving Knowledge Distillation for Quantization-Aware Training of Large Transformer Encoders. CoRR (2022)