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 7101–7125 of 10817 papers

TitleStatusHype
AutoRev: Automatic Peer Review System for Academic Research Papers—0
Exploring the Robustness of Language Models for Tabular Question Answering via Attention Analysis—0
Knowledge-Augmented Language Models Interpreting Structured Chest X-Ray Findings—0
Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering—0
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge—0
Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs—0
Knowledge AI: Fine-tuning NLP Models for Facilitating Scientific Knowledge Extraction and Understanding—0
On the Transferability of Minimal Prediction Preserving Inputs in Question Answering—0
Knowledge-Aided Open-Domain Question Answering—0
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law—0
Knowledge Acquisition for Visual Question Answering via Iterative Querying—0
OntoLearn Reloaded: A Graph-Based Algorithm for Taxonomy Induction—0
Deep Bayesian Natural Language Processing—0
Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education—0
Deep Bayesian Learning and Understanding—0
Ontology-based question answering over corporate structured data—0
Ontology-Based Retrieval \& Neural Approaches for BioASQ Ideal Answer Generation—0
Advancing Multimodal Medical Capabilities of Gemini—0
KnowIT VQA: Answering Knowledge-Based Questions about Videos—0
Deep Bayesian Active Learning for Multiple Correct Outputs—0
Knowing Where to Look? Analysis on Attention of Visual Question Answering System—0
OODTE: A Differential Testing Engine for the ONNX Optimizer—0
Generating and Evaluating Explanations of Attended and Error-Inducing Input Regions for VQA Models—0
Deep Attentive Sentence Ordering Network—0
AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework—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