🚇 Archive of daily ridership data from BART.

Pytorch implementation of baseline models of KQA Pro, a large-scale dataset of complex question answering over knowledge base.

Examination of whether LLMs can maintain consistency over extended multiple text generation for 10 medical personas. 5 novel plausibility metrics proposed, and an ontology of common LLM errors.

This project demonstrates text summarization using the BART (Bidirectional and Auto-Regressive Transformers) model. BART is a transformer model trained as a denoising autoencoder and is effective for text generation tasks such as summarization.

TextGen: Implementation of Text Generation models, include LLaMA, BLOOM, GPT2, BART, T5, SongNet and so on. 文本生成模型，实现了包括LLaMA，ChatGLM，BLOOM，GPT2，Seq2Seq，BART，T5，UDA等模型的训练和预测，开箱即用。

code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"

Our BART-based Natural Language Processing model, generating answerable open questions. Made for a Language Technology Practical course.

Instruction fine tuning BART for Dialogue Summarization | IT4772E | NLP Project 20232

BrainHack 2024 competition repository for the TIL-AI category in the Novice track for Team dingdongs.

Document Summarizer using NLP and LLMs. BART model is used.

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

Entity detection and normalization

Fetch and display transit times from Bay Area 511 API

Calculate perplexity on a text with pre-trained language models. Support MLM (eg. DeBERTa), recurrent LM (eg. GPT3), and encoder-decoder LM (eg. Flan-T5).

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

A domain specific chatbot powered by Hugging Face and Python.

NLP application to paraphrase and Summarize text using BART model and T-5 model

SynopTix is a text summarizer tool built using the BART (Bidirectional and Auto-Regressive Transformers) model.

An English-to-Cantonese machine translation model

Multilingual/multidomain question generation datasets, models, and python library for question generation.