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Retrieval-Augmented Generation

403 papers

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Papers

Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation NAACL 2025 Improving AI assistants embedded in short e-learning courses with limited textual content ACL 2025 Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning Argumentations EMNLP 2025 Incident Diagnosing and Reporting System Based on Retrieval Augmented Large Language Model AAAI 2025 Inference Scaling for Bridging Retrieval and Augmented Generation NAACL 2025 InfoGain-RAG: Boosting Retrieval-Augmented Generation through Document Information Gain-based Reranking and Filtering EMNLP 2025 InteGround: On the Evaluation of Verification and Retrieval Planning in Integrative Grounding EMNLP 2025 Inter-Passage Verification for Multi-evidence Multi-answer QA ACL 2025 Investigating Language Preference of Multilingual RAG Systems ACL 2025 KBAlign: Efficient Self Adaptation on Specific Textual Knowledge Bases EMNLP 2025 Ko-LongRAG: A Korean Long-Context RAG Benchmark Built with a Retrieval-Free Approach EMNLP 2025 LAB-KG: A Retrieval-Augmented Generation Method with Knowledge Graphs for Medical Lab Test Interpretation COLING 2025 Language Repository for Long Video Understanding ACL 2025 Language verY Rare for All COLING 2025 Laniqo at WMT25 General Translation Task: Self-Improved and Retrieval-Augmented Translation EMNLP 2025 Last Minute at SemEval-2025 Task 5: RAG System for Subject Tagging SemEval 2025 LaySummX at BioLaySumm: Retrieval-Augmented Fine-Tuning for Biomedical Lay Summarization Using Abstracts and Retrieved Full-Text Context ACL 2025 LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization EMNLP 2025 Lexical Diversity-aware Relevance Assessment for Retrieval-Augmented Generation ACL 2025 Lexical Semantic Change Annotation with Large Language Models NAACL 2025 Listen to the Context: Towards Faithful Large Language Models for Retrieval Augmented Generation on Climate Questions ACL 2025 LLM-Independent Adaptive RAG: Let the Question Speak for Itself EMNLP 2025 LLMs are Biased Evaluators But Not Biased for Fact-Centric Retrieval Augmented Generation ACL 2025 LLMs Trust Humans More, That’s a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation ACL 2025 Long-Tail Crisis in Nearest Neighbor Language Models NAACL 2025