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2-lnn-el

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adaptive-retrieval

analysing_pii_leakage

The repository contains the code for analysing the leakage of personally identifiable (PII) information from the output of next word prediction language models.

arboel

asharedata

自动化Tushare数据获取和MySQL储存

attention

autophrase

AutoPhrase: Automated Phrase Mining from Massive Text Corpora

autosub

Command-line utility to transcribe/translate from video/audio/subtitles to subtitles

bert-attack

Code for EMNLP2020 long paper: BERT-Attack: Adversarial Attack Against BERT Using BERT

bfgd-sgns

black-box-prompt-learning

Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"

blink

Entity Linker solution

cate

[WWW 2020] Discriminative Topic Mining via Category-Name Guided Text Embedding

cgexpan

The source code used for paper "Empower Entity Set Expansion via Language Model Probing", published in ACL 2020.

chatapp

chatglm-efficient-tuning

Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调

chunkllama

Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"

codeforces-parser

Parse sample tests of Codeforces competitions, and generate tests automatically.

codeforces-questions-fetcher

Python script that lets you fetch QUESTIONS from codeforces as html along with images according to difficulty A,B,C,D...

compare

compare embedding

crfvshmm

cs225

CS225 SP2019 MPS, Labs and POTDS

cs225git

CS 225 Data Structures at the University of Illinois at Urbana-Champaign

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

ctoolformer

hook up ctoolformer GPT J

da-rnn

Semantic Mapping with Data Associated Recurrent Neural Networks

data_science_bowl_2018

My 5th place (out of 816 teams) solution to The 2018 Data Science Bowl organized by Booz Allen Hamilton

dca

This repository contains code used in the EMNLP 2019 paper "Learning Dynamic Context Augmentation for Global Entity Linking".

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"