Code for the ACL2022 paper "C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References"
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Updated
Mar 14, 2022
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.
Modifications to Fusion in Decoder architecture to make more it efficient
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 Daliy Dialogue Context Generator trained with Bloom and GPT
ACL 2023: Evaluating Open-Domain Question Answering in the Era of Large Language Models
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
Open-Retrieval Conversational Machine Reading: A new setting & OR-ShARC dataset
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"
Awesome Question Answering
Code Repo for "Differentiable Open-Ended Commonsense Reasoning" (NAACL 2021)
Evaluation framework for open-domain question answering.
This is the official repository for NAACL 2021, "XOR QA: Cross-lingual Open-Retrieval Question Answering".
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