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Towards Making the Most of ChatGPT for Machine Translation
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BitNet: Scaling 1-bit Transformers for Large Language Models
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AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
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Phi-2: A Small Language Model with Reasoning Capability
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Textbooks Are All You Need
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Orca: Progressive Learning from Complex Explanation Traces of GPT-4
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ReWOO: Decoupling Reasoning from Observation for Efficient LLM Reasoning
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Sparks of Artificial General Intelligence: Early experiments with GPT-4
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Language Is Not All You Need: Aligning Perception with Language Models
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Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
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Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
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Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
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LoRA: Low-Rank Adaptation of Large Language Models
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ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
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D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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Deep Residual Learning for Image Recognition
