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Answer Generation

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Showing 126–150 of 280 papers

TitleStatusHype
WeQA: A Benchmark for Retrieval Augmented Generation in Wind Energy Domain—0
What are the limits of cross-lingual dense passage retrieval for low-resource languages?—0
Towardseffective teaching assistants: From intent-based chatbots to LLM-poweredteachingassistants—0
LLaVA-Surg: Towards Multimodal Surgical Assistant via Structured Surgical Video Learning—0
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction—0
Leveraging Inter-Chunk Interactions for Enhanced Retrieval in Large Language Model-Based Question Answering—0
Introducing a new hyper-parameter for RAG: Context Window Utilization—0
QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval—0
Multimodal Reranking for Knowledge-Intensive Visual Question Answering—0
GenSco: Can Question Decomposition based Passage Alignment improve Question Answering?—0
Context Embeddings for Efficient Answer Generation in RAG—0
Faux Polyglot: A Study on Information Disparity in Multilingual Large Language Models—0
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs—0
TrustUQA: A Trustful Framework for Unified Structured Data Question AnsweringCode0
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models—0
Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model—0
Towards Retrieval Augmented Generation over Large Video Libraries—0
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM GenerationCode0
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering—0
Hallucination Mitigation Prompts Long-term Video UnderstandingCode0
Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy—0
ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate DisclosuresCode0
FairytaleQA Translated: Enabling Educational Question and Answer Generation in Less-Resourced LanguagesCode0
Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning—0
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study—0
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