4 papers · 1 filter
Bootstrapping LLMs via Preference-Based Policy Optimization
Chen Jia
Bootstrapping large language models (LLMs) through preference-based policy optimization offers a promising direction for aligning model behavior with human preferences without rely…
A Survey on Large Language Models for Mathematical Reasoning
Peng-Yuan Wang, Tian-Shuo Liu, Chenyang Wang +8
Mathematical reasoning has long represented one of the most fundamental and challenging frontiers in artificial intelligence research. In recent years, large language models (LLMs)…
Online Knowledge Distillation with Reward Guidance
Chen Jia
This work studies knowledge distillation (KD) for large language models (LLMs) through preference optimization. We propose a reward-guided imitation learning framework for sequenti…
RELexED: Retrieval-Enhanced Legal Summarization with Exemplar Diversity
T. Y. S. S. Santosh, Chen Jia, Patrick Goroncy +1
This paper addresses the task of legal summarization, which involves distilling complex legal documents into concise, coherent summaries. Current approaches often struggle with con…