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Retrieval-augmented Generation

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Showing 176–200 of 2196 papers

TitleStatusHype
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language ModelsCode2
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"Code2
QAEncoder: Towards Aligned Representation Learning in Question Answering SystemCode2
Towards Interactive and Learnable Cooperative Driving Automation: a Large Language Model-Driven Decision-Making FrameworkCode2
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to RefuseCode2
Synthetic continued pretrainingCode2
Revisiting the Solution of Meta KDD Cup 2024: CRAGCode2
Language Model Powered Digital Biology with BRADCode2
LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal DomainCode2
TC-RAG:Turing-Complete RAG's Case study on Medical LLM SystemsCode2
EfficientRAG: Efficient Retriever for Multi-Hop Question AnsweringCode2
MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected TrainingCode2
MetaOpenFOAM: an LLM-based multi-agent framework for CFDCode2
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question AnsweringCode2
Scientific QA System with Verifiable AnswersCode2
Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented GenerationCode2
PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric AgentsCode2
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language ModelsCode2
How do you know that? Teaching Generative Language Models to Reference Answers to Biomedical QuestionsCode2
TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language ModelsCode2
UniGen: A Unified Framework for Textual Dataset Generation Using Large Language ModelsCode2
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented GenerationCode2
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QACode2
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based FrameworkCode2
CodeRAG-Bench: Can Retrieval Augment Code Generation?Code2
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