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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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Knowledge Base Question Answering On 1

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UniK-QA (T5-base)76.7UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering
ChatKBQA86.4ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models
ReTraCk Oracle EL74.6ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering-
SPARKLE71.2SPARKLE: Enhancing SPARQL Generation with Direct KG Integration in Decoding
UniK-QA (T5-large)79.1UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering
SKP79.6Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA
ReTraCk71.6ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering-
DPA-RAG80.28Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation
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