Computer Science, Information Retrieval
Author: LLama 2 7B Chat
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LLaMA-2, the next generation of LLaMA. Meta trained and released LLaMA-2 in three model sizes: 7, 13, and 70 billion parameters. The model architecture remains largely unchanged from that of LLaMA-1 models, but 40% more data was used to train the foundational models. The accompanying preprint also mentions a model with 34B parameters that might be released in the future upon satisfying safety targets.
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Navigating Emotional States in Group Settings: A Robot’s Guide
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Efficient and Conversational Text-to-Speech Generation with LibriTTS and Denoising Techniques
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Multi-Stage Contrastive Regression for Basketball Performance Assessment
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Iterative Reconstruction Methods for Linear Systems: A Comparative Study
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Fine-Tuning AI Language Models Without Human Input: A Survey of Recent Advances
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Optimizing LPU Outputs via Metric-based Design
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Self-Rectification of Texture Generation Using Cross Attention Control
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Summarizing Patient Histories: Easing Clinical Workload with Language Models
Efficient Clustering and Search in High-Dimensional Spaces using SVD
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Unlocking Trillions of Time Series Anomalies with Matrix Profile XXVIII
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Irreversibility of Biometric Templates Under Attack
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Faster Temporal Reasoning with MeTeoR: Outperforming Query Rewriting
Computer Science, Multiagent Systems
Reasoning Elicited by Chain-of-Thought Prompts in Large Language Models
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