임베딩

관련 논문

Cook2LTL: Translating Cooking Recipes to LTL Formulae using LLMs
Investigating Intersectional Bias in LLMs using Confidence Disparities in Coreference Resolution
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
Large Causal Models from Large Language Models
Matryoshka Representation Learning
Memory Layers at Scale
On the criteria to be used in decomposing systems into modules
On the Theoretical Limitations of Embedding-Based Retrieval
Personalization of Large Language Models: A Survey
Precise Zero-Shot Dense Retrieval without Relevance Labels
Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet
The Platonic Representation Hypothesis
The Super Weight in Large Language Models
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware