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 3001–3025 of 10817 papers

TitleStatusHype
A Generative Approach to Question Answering—0
A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories—0
A Generate-Validate Approach to Answering Questions about Qualitative Relationships—0
AnswerFact: Fact Checking in Product Question Answering—0
100 Things You Always Wanted to Know about Linguistics But Were Afraid to Ask*—0
Answer Extraction by Recursive Parse Tree Descent—0
Bias Evaluation and Mitigation in Retrieval-Augmented Medical Question-Answering Systems—0
BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactions—0
BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning—0
Answer Extraction as Sequence Tagging with Tree Edit Distance—0
BioMegatron: Larger Biomedical Domain Language Model—0
A Copy-Augmented Generative Model for Open-Domain Question Answering—0
Evaluating ChatGPT as a Question Answering System: A Comprehensive Analysis and Comparison with Existing Models—0
Evaluating Consistencies in LLM responses through a Semantic Clustering of Question Answering—0
Evaluating the Symbol Binding Ability of Large Language Models for Multiple-Choice Questions in Vietnamese General Education—0
EventWiki: A Knowledge Base of Major Events—0
Exploring Diverse Methods in Visual Question Answering—0
A Copy-Augmented Generative Model for Open-Domain Question Answering—0
Answer-checking in Context: A Multi-modal FullyAttention Network for Visual Question Answering—0
Biomedical Question Answering via Weighted Neural Network Passage Retrieval—0
A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents—0
Evaluating a City Exploration Dialogue System with Integrated Question-Answering and Pedestrian Navigation—0
Biomedical Question Answering via Multi-Level Summarization on a Local Knowledge Graph—0
Biomedical Question Answering: A Survey of Approaches and Challenges—0
Answer Candidate Type Selection: Text-to-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs—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