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Retrieval-augmented Generation

Papers

Showing 176200 of 2196 papers

TitleStatusHype
Removal of Hallucination on Hallucination: Debate-Augmented RAGCode1
FinRAGBench-V: A Benchmark for Multimodal RAG with Visual Citation in the Financial Domain0
Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMsCode0
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps0
MetaGen Blended RAG: Higher Accuracy for Domain-Specific Q&A Without Fine-TuningCode1
Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems0
Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty0
Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval Augmented Generation (RAG)0
BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text0
VoxRAG: A Step Toward Transcription-Free RAG Systems in Spoken Question Answering0
Ask, Retrieve, Summarize: A Modular Pipeline for Scientific Literature SummarizationCode0
Continually Self-Improving Language Models for Bariatric Surgery Question--Answering0
Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation0
CUB: Benchmarking Context Utilisation Techniques for Language Models0
SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory SynthesisCode4
Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation0
Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools0
HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation0
MuseRAG: Idea Originality Scoring At ScaleCode0
Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems0
Benchmarking Retrieval-Augmented Multimomal Generation for Document Question AnsweringCode1
R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement LearningCode4
Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph WalksCode0
After Retrieval, Before Generation: Enhancing the Trustworthiness of Large Language Models in RAG0
InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation0
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