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PEACE 2.0: Grounded Explanations and Counter-Speech for Combating Hate Expressions
Arxiv
0+阅读 · 2月19日
NotebookRAG: Retrieving Multiple Notebooks to Augment the Generation of EDA Notebooks for Crowd-Wisdom
Arxiv
0+阅读 · 2月19日
PartRAG: Retrieval-Augmented Part-Level 3D Generation and Editing
Arxiv
0+阅读 · 2月19日
Enhancing Large Language Models (LLMs) for Telecom using Dynamic Knowledge Graphs and Explainable Retrieval-Augmented Generation
Enhancing Large Language Models (LLMs) for Telecom using Dynamic Knowledge Graphs and Explainable Retrieval-Augmented Generation
Arxiv
0+阅读 · 2月19日
PRoH: Dynamic Planning and Reasoning over Knowledge Hypergraphs for Retrieval-Augmented Generation
Arxiv
0+阅读 · 2月18日
Integrating Chain-of-Thought and Retrieval Augmented Generation Enhances Rare Disease Diagnosis from Clinical Notes
Integrating Chain-of-Thought and Retrieval Augmented Generation Enhances Rare Disease Diagnosis from Clinical Notes
Arxiv
0+阅读 · 2月18日
Retrieval-Augmented Foundation Models for Matched Molecular Pair Transformations to Recapitulate Medicinal Chemistry Intuition
Arxiv
0+阅读 · 2月18日
Retrieval Augmented Generation of Literature-derived Polymer Knowledge: The Example of a Biodegradable Polymer Expert System
Retrieval Augmented Generation of Literature-derived Polymer Knowledge: The Example of a Biodegradable Polymer Expert System
Arxiv
0+阅读 · 2月18日
Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning
Arxiv
0+阅读 · 2月16日
GitBugs: Bug Reports for Duplicate Detection, Retrieval Augmented Generation, Triage, and More
Arxiv
0+阅读 · 2月17日
MedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation
Arxiv
0+阅读 · 2月16日
AudioRAG+: Feedback-driven Retrieval-augmented Audio Generation with Large Audio Language Models
AudioRAG+: Feedback-driven Retrieval-augmented Audio Generation with Large Audio Language Models
Arxiv
0+阅读 · 2月17日
Learning to Retrieve Navigable Candidates for Efficient Vision-and-Language Navigation
Arxiv
0+阅读 · 2月17日
RAGBoost: Efficient Retrieval-Augmented Generation with Accuracy-Preserving Context Reuse
Arxiv
0+阅读 · 2月10日
Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders
Arxiv
0+阅读 · 2月11日
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