1 citations · 2 across the 5 of their papers we have counts for
5 papers
HyperGraphPro: Progress-Aware Reinforcement Learning for Structure-Guided Hypergraph RAG
Jinyoung Park, Sanghyeok Lee, Omar Zia Khan +2
Graph Retrieval-Augmented Generation (GraphRAG) has emerged as a promising paradigm that organizes external knowledge into structured graphs of entities and relations, enabling lar…
Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation
Jinyoung Park, Minseok Joo, Joo-Kyung Kim +1
Knowledge graph-grounded dialog generation requires retrieving a dialog-relevant subgraph from the given knowledge base graph and integrating it with the dialog history. Previous w…
Retrieval-Augmented Open-Vocabulary Object Detection
Jooyeon Kim, Eulrang Cho, Sehyung Kim +1
Open-vocabulary object detection (OVD) has been studied with Vision-Language Models (VLMs) to detect novel objects beyond the pre-trained categories. Previous approaches improve th…
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…
Distribution-Aware Prompt Tuning for Vision-Language Models
Eulrang Cho, Jooyeon Kim, Hyunwoo J. Kim
Pre-trained vision-language models (VLMs) have shown impressive performance on various downstream tasks by utilizing knowledge learned from large data. In general, the performance…