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The Geometry of Categorical and Hierarchical Concepts in Large Language Models
Paper • 2406.01506 • Published • 3 -
A Language Model's Guide Through Latent Space
Paper • 2402.14433 • Published • 1 -
Extracting Latent Steering Vectors from Pretrained Language Models
Paper • 2205.05124 • Published -
The Linear Representation Hypothesis and the Geometry of Large Language Models
Paper • 2311.03658 • Published • 1
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Collections including paper arxiv:2406.01506
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Knowing When to Ask -- Bridging Large Language Models and Data
Paper • 2409.13741 • Published • 1 -
A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases
Paper • 2311.07509 • Published • 2 -
Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!
Paper • 2405.11706 • Published • 2 -
Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering
Paper • 2404.17723 • Published • 2
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RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Paper • 2401.18059 • Published • 37 -
KGValidator: A Framework for Automatic Validation of Knowledge Graph Construction
Paper • 2404.15923 • Published • 2 -
The Geometry of Categorical and Hierarchical Concepts in Large Language Models
Paper • 2406.01506 • Published • 3
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Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI
Paper • 2404.11428 • Published • 1 -
A Multimodal Automated Interpretability Agent
Paper • 2404.14394 • Published • 21 -
What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Paper • 2404.07129 • Published • 3 -
The Geometry of Categorical and Hierarchical Concepts in Large Language Models
Paper • 2406.01506 • Published • 3