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[ICML 2024] Code release for "On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm"
Prompt Injection Attacks against GPT-4, Gemini, Azure, Azure with Jailbreak
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
A high-throughput and memory-efficient inference and serving engine for LLMs
Awesome-LLM: a curated list of Large Language Model
A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
Tools for understanding how transformer predictions are built layer-by-layer
BlueLM(蓝心大模型): Open large language models developed by vivo AI Lab
A unified evaluation framework for large language models
Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair
Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch
《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合中国宝宝的部署教程
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
Must-read Papers on Textual Adversarial Attack and Defense
Assessing Safety and Robustness of LLM's by performing Adversarial attacks.
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.
Implementation of "RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation".
Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]