retrieval-augmented generation

RAGraph: A General Retrieval-Augmented Graph Learning Framework NeurIPS 2024 RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts ACL 2024 RAGs to Style: Personalizing LLMs with Style Embeddings EACL 2024 RAG-Studio: Towards In-Domain Adaptation of Retrieval Augmented Generation Through Self-Alignment EMNLP 2024 RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models ACL 2024 RAGViz: Diagnose and Visualize Retrieval-Augmented Generation EMNLP 2024 RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback ACL 2024 RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs NeurIPS 2024 RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval ICLR 2024 RAR: Retrieval-augmented retrieval for code generation in low resource languages EMNLP 2024 RASU: Retrieval Augmented Speech Understanding through Generative Modeling Interspeech 2024 README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP EMNLP 2024 READ: Retrieval-Enhanced Asymmetric Diffusion for Motion Planning CVPR 2024 REAL: A Retrieval-Augmented Entity Linking Approach for Biomedical Concept Recognition ACL 2024 REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation ACL 2024 REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering EMNLP 2024 Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning ICLR 2024 Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction IJCAI 2024 RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation ICLR 2024 Reducing hallucination in structured outputs via Retrieval-Augmented Generation NAACL 2024 ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks NAACL 2024 Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models NeurIPS 2024 Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain ACL 2024 Reinforcement Learning from Answer Reranking Feedback for Retrieval-Augmented Answer Generation Interspeech 2024 Reinforcement Retrieval Leveraging Fine-grained Feedback for Fact Checking News Claims with Black-Box LLM COLING 2024