Hongru Wang

UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems

2024 · arXiv (Cornell University)

Large Language Models (LLMs) has shown exceptional capabilities in many natual language understanding and generation tasks. However, the personalization issue still remains a much-coveted property, especially when it comes to the multiple sources involved in …

Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst

2025

Inference-time scaling has attracted much attention which significantly enhance the performance of Large Language Models (LLMs) in complex reasoning tasks by increasing the length of Chain-of-Thought.These longer intermediate reasoning rationales embody various meta-reasoning skills in …