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

The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".

Prompt-engineered RAGs for Open Domain Complex QA

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

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

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

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.

IIT Guwahati's Gold Medal winning solution to DevRev’s Expert Answers in a Flash Improving Domain-Specific QA

Code Repo for "Differentiable Open-Ended Commonsense Reasoning" (NAACL 2021)

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

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

Modifications to Fusion in Decoder architecture to make more it efficient

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

A Daliy Dialogue Context Generator trained with Bloom and GPT

蔡老師的課程作業

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

The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".

Awesome Question Answering

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