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Retrieval-augmented Generation

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TitleStatusHype
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications—0
Boosting Lossless Speculative Decoding via Feature Sampling and Partial Alignment Distillation—0
LRP4RAG: Detecting Hallucinations in Retrieval-Augmented Generation via Layer-wise Relevance PropagationCode3
Text2SQL is Not Enough: Unifying AI and Databases with TAGCode4
Measuring text summarization factuality using atomic facts entailment metrics in the context of retrieval augmented generation—0
Retrieval Augmented Generation for Dynamic Graph Modeling—0
Probing Causality Manipulation of Large Language Models—0
Claim Verification in the Age of Large Language Models: A Survey—0
Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models—0
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data—0
Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering—0
Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language ModelsCode0
CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers—0
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction—0
RAG-Optimized Tibetan Tourism LLMs: Enhancing Accuracy and Personalization—0
Xinyu: An Efficient LLM-based System for Commentary Generation—0
A Quick, trustworthy spectral knowledge Q&A system leveraging retrieval-augmented generation on LLMCode0
WeQA: A Benchmark for Retrieval Augmented Generation in Wind Energy Domain—0
RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented GenerationCode3
Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian PhilosophyCode0
Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP StandardsCode1
Leveraging Chemistry Foundation Models to Facilitate Structure Focused Retrieval Augmented Generation in Multi-Agent Workflows for Catalyst and Materials Design—0
Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question AnsweringCode1
Reading with Intent—0
Reconciling Methodological Paradigms: Employing Large Language Models as Novice Qualitative Research Assistants in Talent Management Research—0
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