4 citations · 5 across the 4 of their papers we have counts for
3 papers · 1 filter
HyperGraphPro: Progress-Aware Reinforcement Learning for Structure-Guided Hypergraph RAG
Jinyoung Park, Sanghyeok Lee, Omar Zia Khan +2
Multi-hop question answering requires retrieval agents to construct a connected evidence path across reasoning turns rather than retrieve isolated relevant evidence for a single qu…
Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models
Jinyoung Park, Ameen Patel, Omar Zia Khan +2
Chain-of-Thought (CoT) prompting along with sub-question generation and answering has enhanced multi-step reasoning capabilities of Large Language Models (LLMs). However, prompting…
Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models
Chris Richardson, Yao Zhang, Kellen Gillespie +5
Personalization, the ability to tailor a system to individual users, is an essential factor in user experience with natural language processing (NLP) systems. With the emergence of…