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User-LLM: Efficient LLM Contextualization with User Embeddings
Paper • 2402.13598 • Published • 21 -
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 66 -
From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples
Paper • 2404.07544 • Published • 20
Shannon Sands
ssands1979
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liked a model about 18 hours ago
z-lab/Qwen3.6-27B-DFlash liked a dataset 1 day ago
ning423/Hermes-OmniForge-Qwen36-27B-full-v0.3.0-unsloth liked a model 2 days ago
nvidia/Qwen3-Nemotron-32B-GenRM-PrincipleOrganizations
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User-LLM: Efficient LLM Contextualization with User Embeddings
Paper • 2402.13598 • Published • 21 -
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 66 -
From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples
Paper • 2404.07544 • Published • 20
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