A dense passage retriever model using a knowledge distillation technique that uses the student model itself as a teacher model.

Code for the ACL2022 paper "C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References"

A enhanced Open Dialogue Context Generator supported by General Language Model Pretraining with Autoregressive Blank Infilling

Papers in the field of Open Domain, Personalized Conversational AI.

蔡老師的課程作業

Prompt-engineered RAGs for Open Domain Complex QA

开放域问答项目，在Facebookresearch/DrQA基础上进行扩展支持中文，阅读维基百科回答开放领域问题

Source code for Denoising Table-Text Retrieval for Open-Domain Question Answering (LREC-COLING 2024)

Modifications to Fusion in Decoder architecture to make more it efficient

A Turkish question answering system made by fine-tuning BERTurk and XLM-Roberta models.

ACL 2023: Evaluating Open-Domain Question Answering in the Era of Large Language Models

A Daliy Dialogue Context Generator trained with Bloom and GPT

Question Answering Interactive System

WikiWhy is a new benchmark for evaluating LLMs' ability to explain between cause-effect relationships. It is a QA dataset containing 9000+ "why" question-answer-rationale triplets.

Code for the ACL 2023 long paper - Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering

Open-WikiTable :Dataset for Open Domain Question Answering with Complex Reasoning over Table

A Turkish question answering system made by fine-tuning BERTurk and XLM-Roberta models.

Pytorch implementation of "An Interpretable Reasoning Network for Multi-Relation Question Answering"

Open-Retrieval Conversational Machine Reading: A new setting & OR-ShARC dataset

Awesome Question Answering