[ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs

This repository presents the original implementation of Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method by Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maar…

This is the code repository for "Uncovering Safety Risks of Large Language Models through Concept Activation Vector"

[ICML 2024] Binoculars: Zero-Shot Detection of LLM-Generated Text

Steering Llama 2 with Contrastive Activation Addition

An official code for the paper "CASteer: Steering Diffusion Models for Controllable Generation"

Fantastic Robustness Measures: The Secrets of Robust Generalization [NeurIPS 2023]

基于无障碍，高级选择器，订阅规则的自定义屏幕点击 Android 应用 | An Android APP with custom screen tapping based on Accessibility, Advanced Selectors, and Subscription Rules

A fast + lightweight implementation of the GCG algorithm in PyTorch

The latest progress of Personalized Large Language Models (LLMs).

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

《〈机器学习〉习题参考》代码资源

General-purpose activation steering library

Steering vectors for transformer language models in Pytorch / Huggingface

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.

llama3 implementation one matrix multiplication at a time

MarkLLM: An Open-Source Toolkit for LLM Watermarking.（EMNLP 2024 Demo）

Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily a…

[EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"

A Python toolbox for performing gradient-free optimization

[COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

The official GitHub page for the survey paper "A Survey on Mixture of Experts in Large Language Models".

Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-training, alignment), test-time computation, reasoning, safet…

Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

Continual Learning of Large Language Models: A Comprehensive Survey