← Learning Types
Deep Learning › Learning Types ›

Retrieval-Augmented Generation

603 directly classified papers

Papers per year

Papers

Team HUMANE at AVeriTeC 2025: HerO 2 for Efficient Fact Verification ACL 2025
SANCTUARY: An Efficient Evidence-based Automated Fact Checking System ACL 2025
Fathom: A Fast and Modular RAG Pipeline for Fact-Checking ACL 2025
Graph-of-Thoughts for Fact-Checking with Large Language Models ACL 2025
AIC CTU@FEVER 8: On-premise fact checking through long context RAG ACL 2025
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts ACL 2024
Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever ACL 2024
RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering ACL 2024
Benchmarking Retrieval-Augmented Generation for Medicine ACL 2024
Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain ACL 2024
Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models ACL 2024
Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment Analysis ACL 2024
RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback ACL 2024
QuBE: Question-based Belief Enhancement for Agentic LLM Reasoning EMNLP 2024
Multi-Modal Retrieval For Large Language Model Based Speech Recognition ACL 2024
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint ACL 2024
Efficient Knowledge Infusion via KG-LLM Alignment ACL 2024
BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence ACL 2024
On Improving Repository-Level Code QA for Large Language Models ACL 2024
VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning ACL 2024
LocalRQA: From Generating Data to Locally Training, Testing, and Deploying Retrieval-Augmented QA Systems ACL 2024
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records ACL 2024
Assessing “Implicit” Retrieval Robustness of Large Language Models EMNLP 2024
CompAct: Compressing Retrieved Documents Actively for Question Answering EMNLP 2024
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models ACL 2024