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Retrieval-Augmented Generation

403 papers

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Papers

Word2Passage: Word-level Importance Re-weighting for Query Expansion ACL 2025 XRAG: Cross-lingual Retrieval-Augmented Generation EMNLP 2025 Zero-shot Graph Reasoning via Retrieval Augmented Framework with LLMs EMNLP 2025 Ad Auctions for LLMs via Retrieval Augmented Generation NeurIPS 2024 A Grounded Preference Model for LLM Alignment ACL 2024 Analysis of Plan-based Retrieval for Grounded Text Generation EMNLP 2024 Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding ACL 2024 Assessing “Implicit” Retrieval Robustness of Large Language Models EMNLP 2024 Assisting Breastfeeding and Maternity Experts in Responding to User Queries with an AI-in-the-loop Approach EMNLP 2024 ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator EMNLP 2024 BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering ACL 2024 Benchmarking Retrieval-Augmented Generation for Medicine ACL 2024 BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence ACL 2024 Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? ACL 2024 Boosting the Potential of Large Language Models with an Intelligent Information Assistant NeurIPS 2024 Can’t Remember Details in Long Documents? You Need Some R&R EMNLP 2024 Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks ACL 2024 ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence NeurIPS 2024 CompAct: Compressing Retrieved Documents Actively for Question Answering EMNLP 2024 Context Tuning for Retrieval Augmented Generation EACL 2024 Dense X Retrieval: What Retrieval Granularity Should We Use? EMNLP 2024 Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation EMNLP 2024 DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models ACL 2024 Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training ACL 2024 E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding NeurIPS 2024