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Answer Generation

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Showing 151–175 of 280 papers

TitleStatusHype
Evaluating Question Answering Evaluation—0
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems—0
EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering—0
Parrot Mind: Towards Explaining the Complex Task Reasoning of Pretrained Large Language Models with Template-Content Structure—0
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models—0
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs—0
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions—0
Faux Polyglot: A Study on Information Disparity in Multilingual Large Language Models—0
FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design—0
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering—0
GEMeX-ThinkVG: Towards Thinking with Visual Grounding in Medical VQA via Reinforcement Learning—0
Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval—0
PlanRAG: Planning-guided Retrieval Augmented Generation—0
Pre-Trained Neural Language Models for Automatic Mobile App User Feedback Answer Generation—0
Product Answer Generation from Heterogeneous Sources: A New Benchmark and Best Practices—0
Product Answer Generation from Heterogeneous Sources: A New Benchmark and Best Practices—0
QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval—0
QA-Expand: Multi-Question Answer Generation for Enhanced Query Expansion in Information Retrieval—0
QontSum: On Contrasting Salient Content for Query-focused Summarization—0
Question-to-Question Retrieval for Hallucination-Free Knowledge Access: An Approach for Wikipedia and Wikidata Question Answering—0
RAG-based Question Answering over Heterogeneous Data and Text—0
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning—0
RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition—0
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs—0
Read before Generate! Faithful Long Form Question Answering with Machine Reading—0
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