Zhiqiang Hu's starred repositories
AutoDetect
Official github repo for AutoDetect, an automated weakness detection framework for LLMs.
DeepSeek-Coder-V2
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
Math-LLaVA
Code for Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
WebDesignAgent
WebDesignAgent : Towards Effortless Website Creation
bigcode-evaluation-harness
A framework for the evaluation of autoregressive code generation language models.
VideoLLaMA2
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
Adapter-TST
The code implementation of our EMNLP'23 Findings "Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer"
Adapter-TST
Official repository of EMNLP'23 Findings "Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer"
self-rewarding-lm-pytorch
Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI
LLM-Agents-Papers
A repo lists papers related to LLM based agent
awesome-adapter-resources
Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning
Plan-and-Solve-Prompting
Code for our ACL 2023 Paper "Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models".
Template-of-Runners-Series
template repository for building paper list automatically
LLM-Next-Item-Rec
Code for the Paper "Zero-Shot Next-Item Recommendation using Large Pretrained Language Models"
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
LLM-Adapters
Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
MWPToolkit
MWPToolkit is an open-source framework for math word problem(MWP) solvers.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.