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Retrieval-augmented Generation

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Showing 1901–1950 of 2196 papers

TitleStatusHype
Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for DialogueCode0
Evaluating the Retrieval Component in LLM-Based Question Answering Systems—0
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented GenerationCode0
Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents—0
Corpus Poisoning via Approximate Greedy Gradient DescentCode0
End-to-End Trainable Retrieval-Augmented Generation for Relation Extraction—0
A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential—0
Enhancing Retrieval-Augmented LMs with a Two-stage Consistency Learning Compressor—0
UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Models—0
Chain of Agents: Large Language Models Collaborating on Long-Context Tasks—0
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context UnderstandingCode0
RAG-based Crowdsourcing Task Decomposition via Masked Contrastive Learning with Prompts—0
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models—0
Superhuman performance in urology board questions by an explainable large language model enabled for context integration of the European Association of Urology guidelines: the UroBot study—0
Natural Language Interaction with a Household Electricity Knowledge-based Digital Twin—0
A Theory for Token-Level Harmonization in Retrieval-Augmented Generation—0
SoccerRAG: Multimodal Soccer Information Retrieval via Natural QueriesCode0
Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs—0
Ask-EDA: A Design Assistant Empowered by LLM, Hybrid RAG and Abbreviation De-hallucination—0
Graph Neural Network Enhanced Retrieval for Question Answering of LLMs—0
Demo: Soccer Information Retrieval via Natural Queries using SoccerRAGCode0
Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented GenerationCode0
Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning—0
RAG Does Not Work for Enterprises—0
Phantom: General Trigger Attacks on Retrieval Augmented Language Generation—0
Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools—0
Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation—0
Designing an Evaluation Framework for Large Language Models in Astronomy ResearchCode0
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts—0
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study—0
A Multi-Source Retrieval Question Answering Framework Based on RAG—0
Unlearning Climate Misinformation in Large Language Models—0
Can GPT Redefine Medical Understanding? Evaluating GPT on Biomedical Machine Reading Comprehension—0
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented GeneratorCode0
Don't Forget to Connect! Improving RAG with Graph-based Reranking—0
Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs—0
QUB-Cirdan at "Discharge Me!": Zero shot discharge letter generation by open-source LLM—0
Augmenting Textual Generation via Topology Aware Retrieval—0
EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling—0
RAGSys: Item-Cold-Start Recommender as RAG System—0
WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence—0
M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions—0
Towards Unlocking Insights from Logbooks Using AI—0
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection—0
Hybrid Context Retrieval Augmented Generation Pipeline: LLM-Augmented Knowledge Graphs and Vector Database for Accreditation Reporting AssistanceCode0
Large Language Models Reflect Human Citation Patterns with a Heightened Citation BiasCode0
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings—0
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge—0
RE-Adapt: Reverse Engineered Adaptation of Large Language Models—0
TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language ModelsCode0
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