12 Repositories
Python boolean-prompting Libraries
Large-scale Knowledge Graph Construction with Prompting
Large-scale Knowledge Graph Construction with Prompting across tasks (predictive and generative), and modalities (language, image, vision + language, etc.)
TransPrompt - Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification
TransPrompt This code is implement for our EMNLP 2021's paper 《TransPrompt:Towards an Automatic Transferable Prompting Framework for Few-shot Text Cla
A blind SQL injection script that uses binary search aka bisection method to dump datas from database.
Blind SQL Injection I wrote this script to solve PortSwigger Web Security Academy's particular Blind SQL injection with conditional responses lab. Bec
Python3 command-line tool for the inference of Boolean rules and pathway analysis on omics data
BONITA-Python3 BONITA was originally written in Python 2 and tested with Python 2-compatible packages. This version of the packages ports BONITA to Py
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting Created by Yongming Rao*, Wenliang Zhao*, Guangyi Chen, Yansong Tang, Zheng Z
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting Created by Yongming Rao*, Wenliang Zhao*, Guangyi Chen, Yansong Tang, Zheng Z
A tool to improve Boolean satisfiability (SAT) solver user's life
SatHelper This is a tool to improve the Boolean satisfiability (SAT) and MaxSAT solver user's life. It helps you model various problems as SAT and Max
Just another script for automatize boolean-based blind SQL injections.
SQL Blind Injection Tool A script for automatize boolean-based blind SQL injections. Works with SQLite at least, supports using cookies. It uses bitwi
Neural text generators like the GPT models promise a general-purpose means of manipulating texts.
Boolean Prompting for Neural Text Generators Neural text generators like the GPT models promise a general-purpose means of manipulating texts. These m
An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"
Channel LM Prompting (and beyond) This includes an original implementation of Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer. "Noisy Cha
Toolkit for collecting and applying templates of prompting instances
PromptSource Toolkit for collecting and applying templates of prompting instances. WIP Setup Download the repo Navigate to root directory of the repo
Code, Data and Demo for Paper: Controllable Generation from Pre-trained Language Models via Inverse Prompting
InversePrompting Paper: Controllable Generation from Pre-trained Language Models via Inverse Prompting Code: The code is provided in the "chinese_ip"