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Retrieval-Augmented Generation
69 directly classified papers
Papers per year
2019: 1
2020: 2
2022: 3
2023: 8
2024: 12
2025: 43
Papers
RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models
CVPR 2025
CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation
ACL 2025
MEMERAG: A Multilingual End-to-End Meta-Evaluation Benchmark for Retrieval Augmented Generation
ACL 2025
M³GQA: A Multi-Entity Multi-Hop Multi-Setting Graph Question Answering Benchmark
ACL 2025
Meta-Tool: Unleash Open-World Function Calling Capabilities of General-Purpose Large Language Models
ACL 2025
Making RALM Robust to Irrelevant Contexts via Layer Knowledge Guided Attention
ACL 2025
CAISA at SemEval-2025 Task 7: Multilingual and Cross-lingual Fact-Checked Claim Retrieval
ACL 2025
Generative FrameNet: Scalable and Adaptive Frames for Interpretable Knowledge Storage and Retrieval for LLMs Powered by LLMs
COLING 2025
A Two-Stage LLM System for Enhanced Regulatory Information Retrieval and Answer Generation
COLING 2025
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective
NAACL 2025
On the Feasibility of In-Context Probing for Data Attribution
NAACL 2025
MITRA-zh-eval: Using a Buddhist Chinese Language Evaluation Dataset to Assess Machine Translation and Evaluation Metrics
NAACL 2025
MA-RAG: Automating Role Engineering for RESTful APIs with Multi-Head Attention and Retrieval-Augmented Generation
IJCAI 2025
REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark
ACL 2025
AutoChunker: Structured Text Chunking and its Evaluation
ACL 2025
Language Repository for Long Video Understanding
ACL 2025
Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval
ACL 2025
Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation
ACL 2025
FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation
EMNLP 2024
Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario
EMNLP 2024
ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence
NIPS 2024
A Grounded Preference Model for LLM Alignment
ACL 2024
Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models
ACL 2024
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
ACL 2024
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
ACL 2024
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