MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering
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MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models

5 May 2020

Daniel Matthew Cer

Papers citing "MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models"

9 / 9 papers shown

Title
SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives Fedor Moiseev Gustavo Hernández Ábrego Peter Dornbach I. Zitouni Enrique Alfonseca Zhe Dong 29 6 0 05 Jun 2023
Learning to Reuse Distractors to support Multiple Choice Question Generation in Education Semere Kiros Bitew Amir Hadifar Lucas Sterckx Johannes Deleu Chris Develder Thomas Demeester AI4Ed 29 14 0 25 Oct 2022
Exploring Dual Encoder Architectures for Question Answering Zhe Dong Jianmo Ni Daniel M. Bikel Enrique Alfonseca Yuanjin Wang Chen Qu I. Zitouni 21 16 0 14 Apr 2022
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability Francesco Sovrano F. Vitali 29 30 0 11 Sep 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 231 966 0 17 Apr 2021
Generalizing Cross-Document Event Coreference Resolution Across Multiple Corpora M. Bugert Nils Reimers Iryna Gurevych 16 17 0 24 Nov 2020
Neural Passage Retrieval with Improved Negative Contrast Jing Lu Gustavo Hernández Ábrego Ji Ma Jianmo Ni Yinfei Yang 21 25 0 23 Oct 2020
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale Andreas Rucklé Jonas Pfeiffer Iryna Gurevych 19 37 0 02 Oct 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016