46 citations · 145 across the 59 of their papers we have counts for
4 papers · 1 filter
Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess
Dongyoon Hwang, Hojoon Lee, Jaegul Choo +2
While reinforcement learning (RL) for large language models (LLMs) has shown promise in mathematical reasoning, strategic reasoning for LLMs using RL remains largely unexplored. We…
Pre-training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations
Chung Park, Taesan Kim, Junui Hong +2
Pre-training the embedding of a location generated from human mobility data has become a popular method for location based services. In practice, modeling the location embedding is…
DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games
Hojoon Lee, Dongyoon Hwang, Hyunseung Kim +2
This paper presents a personalized character recommendation system for Multiplayer Online Battle Arena (MOBA) games which are considered as one of the most popular online video gam…
Interpreting Models by Allowing to Ask
Sungmin Kang, David Keetae Park, Jaehyuk Chang +1
Questions convey information about the questioner, namely what one does not know. In this paper, we propose a novel approach to allow a learning agent to ask what it considers as t…