3 papers
cs.AI2026
Concretized Proposition Prompting Resolves Composition-Knowledge Dichotomy in Large Language Models
Changhun Lee, Minguk Jeon, Jongkyung Shin +1
LLMs often struggle to balance compositionality with knowledgeability, a challenge we define as Composition-Knowledge Dichotomy. To address this, we propose Concretized Proposition…
cs.LG2025
ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting
Hyunwoo Seo, Chiehyeon Lim
Forecasting complex time series is an important yet challenging problem that involves various industrial applications. Recently, masked time-series modeling has been proposed to ef…
cs.LG2023
Reward Dropout Improves Control: Bi-objective Perspective on Reinforced LM
Changhun Lee, Chiehyeon Lim
We study the theoretical aspects of Reinforced Language Models (RLMs) from a bi-objective optimization perspective. Specifically, we consider the RLMs as a Pareto optimization prob…