Is Cosine-Similarity of Embeddings Really About Similarity?
Paper
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2403.05440
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Published
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3
Papers to read
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GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning
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Make Your LLM Fully Utilize the Context
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KAN: Kolmogorov-Arnold Networks
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LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
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SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
Paper • 2502.02737 • Published • 229