princeton-nlp / EntityQuestions
EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers https://arxiv.org/abs/2109.08535
☆145Updated 2 years ago
Alternatives and similar repositories for EntityQuestions:
Users that are interested in EntityQuestions are comparing it to the libraries listed below
- Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 20…☆109Updated 2 years ago
- ☆116Updated 2 years ago
- [NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall https://arxiv.org/abs/2104.05240☆167Updated 2 years ago
- An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"☆131Updated 2 years ago
- Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"☆62Updated 2 years ago
- Few-shot NLP benchmark for unified, rigorous eval☆91Updated 2 years ago
- Code and resources for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking fo…☆74Updated 2 years ago
- ☆92Updated 3 years ago
- ☆78Updated 2 years ago
- [ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering☆45Updated 2 years ago
- [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation☆150Updated last year
- reStructured Pre-training☆98Updated 2 years ago
- Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning☆99Updated last year
- Authors' implementation of the paper Adaptive Information Seeking for Open-Domain Question Answering, published in EMNLP 2021.☆37Updated last year
- ☆66Updated 3 years ago
- Train Dense Passage Retriever (DPR) with a single GPU☆130Updated 3 years ago
- ☆88Updated 2 years ago
- 🦮 Code and pretrained models for Findings of ACL 2022 paper "LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrie…☆49Updated 2 years ago
- Repository for ACL'22 paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization☆55Updated last year
- Dense hybrid representations for text retrieval☆62Updated last year
- [NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining☆118Updated last year
- EMNLP 2021 - CTC: A Unified Framework for Evaluating Natural Language Generation☆96Updated last year
- EMNLP 2021: Single-dataset Experts for Multi-dataset Question-Answering☆70Updated 3 years ago
- ☆90Updated 10 months ago
- ☆58Updated 2 years ago
- Structured Prediction as Translation between Augmented Natural Languages☆134Updated 2 years ago
- ☆55Updated 2 years ago
- ☆34Updated 2 years ago
- This repository contains the code for "How many data points is a prompt worth?"☆48Updated 3 years ago
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆85Updated 2 years ago