activity
20242026
most citedImproving Domain-Specific ASR with LLM-Generated Contextual Descriptions

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing cs.AIShow all

1 paper · 1 filter

cs.AI2026

A Tree-based RAG Framework for Evidence-Intensive QA via Adaptive Planning and Topology-Aware Evidence Gathering

Songeun Lee, Kyungjin Min, Injae Na +3

Recent structured RAG methods leverage tree- or graph-based reasoning structures to improve multi-hop QA. However, they face key limitations in evidence-intensive QA, where answeri…