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How Faithful are RAG Models? This AI Paper from Stanford Evaluates the Faithfulness of RAG Models and the Impact of Data Accuracy on RAG Systems in LLMs
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How Faithful are RAG Models? This AI Paper from Stanford Evaluates the Faithfulness of RAG Models and the Impact of Data Accuracy on RAG Systems in LLMs

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To construct a greater AI helper, start by modeling the irrational behavior of humans
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To construct a greater AI helper, start by modeling the irrational behavior of humans

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Using deep learning to image the Earth’s planetary boundary layer
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Using deep learning to image the Earth’s planetary boundary layer

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3 Questions: Enhancing last-mile logistics with machine learning
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3 Questions: Enhancing last-mile logistics with machine learning

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KIVI: A Plug-and-Play 2-bit KV Cache Quantization Algorithm without the Need for Any Tuning
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KIVI: A Plug-and-Play 2-bit KV Cache Quantization Algorithm without the Need for Any Tuning

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Researchers at Stanford Propose a Family of Representation Finetuning (ReFT) Methods that Operates on a Frozen Base Model and Learn Task-Specific Interventions on Hidden Representations
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Researchers at Stanford Propose a Family of Representation Finetuning (ReFT) Methods that Operates on a Frozen Base Model and Learn Task-Specific Interventions on Hidden Representations

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This AI Paper from Peking University and ByteDance Introduces VAR: Surpassing Diffusion Models in Speed and Efficiency
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This AI Paper from Peking University and ByteDance Introduces VAR: Surpassing Diffusion Models in Speed and Efficiency

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This AI Paper from SambaNova Presents a Machine Learning Method to Adapt Pretrained LLMs to Recent Languages
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This AI Paper from SambaNova Presents a Machine Learning Method to Adapt Pretrained LLMs to Recent Languages

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A Comparative Study of In-Context Learning Capabilities: Exploring the Versatility of Large Language Models in Regression Tasks
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A Comparative Study of In-Context Learning Capabilities: Exploring the Versatility of Large Language Models in Regression Tasks

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Autonomous Domain-General Evaluation Models Enhance Digital Agent Performance: A Breakthrough in Adaptive AI Technologies
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Autonomous Domain-General Evaluation Models Enhance Digital Agent Performance: A Breakthrough in Adaptive AI Technologies

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