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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7301–7325 of 10817 papers

TitleStatusHype
ParaQuery: Making Sense of Paraphrase Collections—0
2M-NER: Contrastive Learning for Multilingual and Multimodal NER with Language and Modal Fusion—0
KenSwQuAD -- A Question Answering Dataset for Swahili Low Resource Language—0
Deceptive Answer Prediction with User Preference Graph—0
Kencorpus: A Kenyan Language Corpus of Swahili, Dholuo and Luhya for Natural Language Processing Tasks—0
Parsing with Traces: An O(n4) Algorithm and a Structural Representation—0
KeLP at SemEval-2017 Task 3: Learning Pairwise Patterns in Community Question Answering—0
Deception Detection in News Reports in the Russian Language: Lexics and Discourse—0
Automatic Question Answering for Medical MCQs: Can It go Further than Information Retrieval?—0
Partially Fake Audio Detection by Self-attention-based Fake Span Discovery—0
KeLP at SemEval-2016 Task 3: Learning Semantic Relations between Questions and Answers—0
Keep Learning: Self-supervised Meta-learning for Learning from Inference—0
Automatic Question-Answer Generation for Long-Tail Knowledge—0
An Empirical Evaluation of various Deep Learning Architectures for Bi-Sequence Classification Tasks—0
Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering—0
DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models—0
K-Edit: Language Model Editing with Contextual Knowledge Awareness—0
Pathological Visual Question Answering—0
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering—0
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering—0
Automatic Propbank Generation for Turkish—0
PathVLM-R1: A Reinforcement Learning-Driven Reasoning Model for Pathology Visual-Language Tasks—0
KBQA: Learning Question Answering over QA Corpora and Knowledge Bases—0
Automatic Prompt Selection for Large Language Models—0
An Empirical Evaluation of Large Language Models on Consumer Health Questions—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