A Simple and Effective Pruning Approach for Large Language Models
On the Benefits of 3D Pose and Tracking for Human Action Recognition
Fast Training of Diffusion Models with Masked Transformers
Full Parameter Fine-tuning for Large Language Models with Limited Resources
Simple and Controllable Music Generation
White-Box Transformers via Sparse Rate Reduction
A Literature Study of Embeddings on Source Code
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
Orca: Progressive Learning from Complex Explanation Traces of GPT-4
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
Let’s Verify Step by Step
Large Language Models as Tool Makers
Gorilla: Large Language Model Connected with Massive APIs
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
VanillaNet: the Power of Minimalism in Deep Learning
QLoRA: Efficient Finetuning of Quantized LLMs
SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities
LLM-Pruner: On the Structural Pruning of Large Language Models
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Training language models to follow instructions with human feedback
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