Retrieval-Augmented Generation
403 papers
Papers per year
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5
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17
29
70
212
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'25
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