Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang
First Order Stochastic Optimization with Oblivious Noise
Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park, Christos Tzamos
S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captions
Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning
Seungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song
Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback
TaeHo Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No, Ernest K. Ryu
Distribution-independent Regression for Generalized Linear Models with Oblivious Corruptions
Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park, Christos Tzamos
Prompted LLMs as Chatbot Modules for Long Open-domain Conversation
Gibbeum Lee, Volker Hartmann, Jongho Park, Dimitris Papailiopoulos, Kangwook Lee
Towards the Practical Utility of Federated Learning in the Medical Domain
Seongjun Yang, Hyeonji Hwang, Daeyoung Kim, Radhika Dua, Jong-Yeup Kim, Eunho Yang, and Edward Choi
DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speech
Keon Lee, Kyumin Park, Daeyoung Kim
Spatio-Temporally Consistent Face Mesh Reconstruction on Videos
Kim Youwang, Lee Hyun, Kim Sung-Bin, Suekyeong Nam, Janghoon Ju, Tae-Hyun Oh