4 papers
J-Zero: Unified Challenger--Solver--Judge Co-Evolution from Zero Data
Gyouk Chu, Myeongho Jeon, Eunho Yang
Self-evolving language models have recently emerged as a promising path toward superintelligence, with the advantage of reducing the cost of human supervision. While considerable p…
TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMs
Hyeongwon Jang, Gyouk Chu, Changhun Kim +3
Clinical early warning systems built on electronic health records, in which clinical observations are recorded as irregularly sampled medical time series (ISMTS), must deliver both…
ReviewScore: Misinformed Peer Review Detection with Large Language Models
Hyun Ryu, Doohyuk Jang, Hyemin S. Lee +16
Peer review serves as a backbone of academic research, but in most AI conferences, the review quality is degrading as the number of submissions explodes. To reliably detect low-qua…
Every Expert Matters: Towards Effective Knowledge Distillation for Mixture-of-Experts Language Models
Gyeongman Kim, Gyouk Chu, Eunho Yang
With the emergence of Mixture-of-Experts (MoE), the efficient scaling of model size has accelerated the development of large language models in recent years. However, their high me…