Code for the 2025 ACL publication "ConInstruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities"

Code associated with the EMNLP 2024 Main paper: "Image, tell me your story!" Predicting the original meta-context of visual misinformation.

[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.

Must-read Papers on Knowledge Editing for Large Language Models.

A resource repository for representation engineering in large language models

Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.

Examples of RAG using Llamaindex with local LLMs - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B

List of papers on Hallucination in LMM

Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"

[TMLR 2024] Efficient Large Language Models: A Survey

An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

[ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.

Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates. - Professor Yu Liu

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

Awesome-LLM: a curated list of Large Language Model

AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

深度学习经典、新论文逐段精读

Papers & Works for large languange models (OpenAI GPT-4, Meta Llama, etc.).

A collection of resources and papers on Diffusion Models

A transaction processor for a hypothetical, general-purpose, central bank digital currency

A simple network quantization demo using pytorch from scratch.

a sampling from ImageNet: 5 examples for each of 200 classes

Compression primitives for uplink compression in Federated Learning that are compatible with Secure Aggregation.