SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

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Showing 6101–6125 of 10817 papers

TitleStatusHype
Human-Adversarial Visual Question Answering—0
MC\^2: Multi-perspective Convolutional Cube for Conversational Machine Reading Comprehension—0
Human Adversarial QA: Did the Model Understand the Paragraph?—0
Huge Automatically Extracted Training-Sets for Multilingual Word SenseDisambiguation—0
Contrastive Data and Learning for Natural Language Processing—0
A survey on VQA_Datasets and Approaches—0
M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains—0
MCQA: Multimodal Co-attention Based Network for Question Answering—0
MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension—0
MCSFF: Multi-modal Consistency and Specificity Fusion Framework for Entity Alignment—0
MCTS-KBQA: Monte Carlo Tree Search for Knowledge Base Question Answering—0
E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model—0
Mining Fine-grained Opinion Expressions with Shallow Parsing—0
HRVQA: A Visual Question Answering Benchmark for High-Resolution Aerial Images—0
HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering—0
Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representation Learning and Retrieval—0
EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation—0
Meaningful Answer Generation of E-Commerce Question-Answering—0
Mining Compatible/Incompatible Entities from Question and Answering via Yes/No Answer Classification using Distant Label Expansion—0
HRCA+: Advanced Multiple-choice Machine Reading Comprehension Method—0
HPI Question Answering System in BioASQ 2016—0
Biomedical Question Answering: A Survey of Approaches and Challenges—0
A Survey on Table Question Answering: Recent Advances—0
Measuring CLEVRness: Black-box Testing of Visual Reasoning Models—0
How You Ask Matters: The Effect of Paraphrastic Questions to BERT Performance on a Clinical SQuAD Dataset—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified