2 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
cs.CL2025
Automatic Transmission for LLM Tiers: Optimizing Cost and Accuracy in Large Language Models
Injae Na, Keonwoong Noh, Woohwan Jung
LLM providers typically offer multiple LLM tiers, varying in performance and price. As NLP tasks become more complex and modularized, selecting the suitable LLM tier for each subta…
cs.CL2024★ 2 cited
Improving Domain-Specific ASR with LLM-Generated Contextual Descriptions
Jiwon Suh, Injae Na, Woohwan Jung
End-to-end automatic speech recognition (E2E ASR) systems have significantly improved speech recognition through training on extensive datasets. Despite these advancements, they st…