Xiaomeng Hu's repositories
Unified-Prompt-based-Framework-for-Multi-task-training
T5 Prompt Tuning
promptbench
A robustness evaluation framework for large language models on adversarial prompts
AutoDAN
The official implementation of our paper "AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models".
ConvDR
Code repo for SIGIR 2021 paper "Few-Shot Conversational Dense Retrieval"
CSrankings-1
A web app for ranking computer science departments according to their research output in selective venues.
Deeplearning-Lab3
VGG, Resnet, SE-Block.
Deeplearning-Lab4
LSTM, Text Classification, Chinese Word Embeddings, Rnn Encoder-Decoder, Temperature Series Prediction
detect-gpt
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
gpl
Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577
gpt-2-output-dataset
Dataset of GPT-2 outputs for research in detection, biases, and more
JavaFamily
【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
llm-sp
Papers and resources related to the security and privacy of LLMs 🤖
loss-landscape
Code for visualizing the loss landscape of neural nets
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
my_dr
Dense Retrieval pipeline grounding with sentence-transformers.
P3Ranker
Code for our SIGIR 2022 accepted paper : P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning
pyserini
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
sgpt
SGPT: GPT Sentence Embeddings for Semantic Search
TAP
TAP: An automated jailbreaking method for black-box LLMs
tevatron
Tevatron - A flexible toolkit for dense retrieval research and development.
TransE
Implementation of TransE (nips 2013), and its simple usage
transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习