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 6851–6875 of 10817 papers

TitleStatusHype
Neural Compositional Denotational Semantics for Question Answering—0
Neural Contextual Conversation Learning with Labeled Question-Answering Pairs—0
HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies—0
Can DeepSeek Reason Like a Surgeon? An Empirical Evaluation for Vision-Language Understanding in Robotic-Assisted Surgery—0
Neural Enquirer: Learning to Query Tables in Natural Language—0
Neural Event Extraction from Movies Description—0
ESG Accountability Made Easy: DocQA at Your Service—0
Neural Joint Learning for Classifying Wikipedia Articles into Fine-grained Named Entity Types—0
Neural Knowledge Bank for Pretrained Transformers—0
A Survey of Multimodal Retrieval-Augmented Generation—0
Adding Morpho-semantic Relations to the Romanian Wordnet—0
Neural Memory Plasticity for Anomaly Detection—0
HFST-SweNER --- A New NER Resource for Swedish—0
Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model—0
Estimating semantic structure for the VQA answer space—0
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks—0
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review—0
Estimating Uncertainty Online Against an Adversary—0
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning—0
Neural Net Models of Open-domain Discourse Coherence—0
Content Models for Survey Generation: A Factoid-Based Evaluation—0
Neural Passage Retrieval with Improved Negative Contrast—0
Constructive Large Language Models Alignment with Diverse Feedback—0
Neural Program Planner for Structured Predictions—0
HeRo: RoBERTa and Longformer Hebrew Language Models—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