Jingwei Yi's repositories

Efficient-FedRec

Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation

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EmbMarker

Code and data for our paper "Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark" in ACL 2023.

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Self-Reminder

Code for our paper "Defending ChatGPT against Jailbreak Attack via Self-Reminder" in NMI.

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Self-Reminder-Data

Data for our paper "Defending ChatGPT against Jailbreak Attack via Self-Reminder"

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UA-FedRec

The python implementation of our "UA-FedRec: Untargeted Attack on Federated News Recommendation" in KDD 2023.

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DeepQSE

Effective and Efficient Query-aware Snippet Extraction for Web Search

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leaf-pytorch

Pytorch implementation of "Leaf: A Benchmark for Federated Settings"

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flat

Fast LLM Attack

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paper-recurrence

huita & nrpa

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recommenders

Best Practices on Recommendation Systems

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CIKM2022

CIKM2022 AnalytiCup Competition

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circuit-design2

中科大电子设计2 魔方机器人

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vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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DeepSpeedExamples

Example models using DeepSpeed

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EasyJailbreak

An easy-to-use Python framework to generate adversarial jailbreak prompts.

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FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

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HarmBench

HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

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instruct-eval

This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.

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lib_frontend

The frontend part of lib

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LLaMA-Factory

Unify Efficient Fine-tuning of 100+ LLMs

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RIC

Remote IDA Call, a python package that allows you to call IDA functions from a remote process.

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TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

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ustc-epc-bot

**科学技术大学EPC课程自动预约/优化脚本

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v2-periphery

🎚 Peripheral smart contracts for interacting with Uniswap V2

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