Retrieval-Augmented Generation

Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization ACL 2025 Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation AAAI 2025 Improving Tool Retrieval by Leveraging Large Language Models for Query Generation COLING 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 the Robustness of Retrieval-Augmented Generation at the Query Level ACL 2025 IRIS: Interpretable Retrieval-Augmented Classification for Long Interspersed Document Sequences ACL 2025 KARPA: A Training-free Method of Adapting Knowledge Graph as References for Large Language Model’s Reasoning Path Aggregation ACL 2025 KG-CQR: Leveraging Structured Relation Representations in Knowledge Graphs for Contextual Query Retrieval EMNLP 2025 KMatrix-2: A Comprehensive Heterogeneous Knowledge Collaborative Enhancement Toolkit for Large Language Model EMNLP 2025 Knowledge Base Construction for Knowledge-Augmented Text-to-SQL ACL 2025 Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation ACL 2025 Knowledge-Grounded Detection of Cryptocurrency Scams with Retrieval-Augmented LMs ACL 2025 LAB-KG: A Retrieval-Augmented Generation Method with Knowledge Graphs for Medical Lab Test Interpretation COLING 2025 Laniqo at WMT25 General Translation Task: Self-Improved and Retrieval-Augmented Translation EMNLP 2025 LaySummX at BioLaySumm: Retrieval-Augmented Fine-Tuning for Biomedical Lay Summarization Using Abstracts and Retrieved Full-Text Context ACL 2025 LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models EMNLP 2025 Learning from Litigation: Graphs for Retrieval and Reasoning in eDiscovery ACL 2025 LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization EMNLP 2025 Leveraging Domain Knowledge at Inference Time for LLM Translation: Retrieval versus Generation NAACL 2025 Leveraging External Knowledge Bases: Analyzing Presentation Methods and Their Impact on Model Performance NAACL 2025 Leveraging Product Catalog Patterns for Multilingual E-commerce Product Attribute Prediction EMNLP 2025