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 7376–7400 of 10817 papers

TitleStatusHype
PerkwE_COQA: Enhanced Persian Conversational Question Answering by combining contextual keyword extraction with Large Language Models—0
DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer—0
KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance—0
PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering—0
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language—0
Permutation Invariant Strategy Using Transformer Encoders for Table Understanding—0
PersianLLaMA: Towards Building First Persian Large Language Model—0
Automatic Keyword Extraction on Twitter—0
Persian Semantic Role Labeling Using Transfer Learning and BERT-Based Models—0
An Empirical Comparison of LM-based Question and Answer Generation Methods—0
Advancing Egocentric Video Question Answering with Multimodal Large Language Models—0
A Comparative and Experimental Study on Automatic Question Answering Systems and its Robustness against Word Jumbling—0
`Just because you are right, doesn't mean I am wrong': Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks—0
Perspective Transition of Large Language Models for Solving Subjective Tasks—0
Perturbation-based Active Learning for Question Answering—0
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding—0
Automatic Interpretation of the English Possessive—0
PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts using Transfer Learning—0
Phase Conductor on Multi-layered Attentions for Machine Comprehension—0
Philosophers are Mortal: Inferring the Truth of Unseen Facts—0
PhotoshopQuiA: A Corpus of Non-Factoid Questions and Answers for Why-Question Answering—0
Phrase2VecGLM: Neural generalized language model--based semantic tagging for complex query reformulation in medical IR—0
DBpedia Domains: augmenting DBpedia with domain information—0
JUST.ASK, a QA system that learns to answer new questions from previous interactions—0
DBpedia: A Multilingual Cross-domain Knowledge Base—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