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 8001–8025 of 10817 papers

TitleStatusHype
AutoDrive-QA- Automated Generation of Multiple-Choice Questions for Autonomous Driving Datasets Using Large Vision-Language Models—0
An Attention Mechanism for Answer Selection Using a Combined Global and Local View—0
ADMUS: A Progressive Question Answering Framework Adaptable to Multiple Knowledge Sources—0
Interpretable Question Answering on Knowledge Bases and Text—0
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization—0
Interpretable Proof Generation via Iterative Backward Reasoning—0
Real-World Deployment and Evaluation of Kwame for Science, An AI Teaching Assistant for Science Education in West Africa—0
Interpretable Neural Computation for Real-World Compositional Visual Question Answering—0
Cross-topic Argument Mining from Heterogeneous Sources—0
Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering—0
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning—0
Cross-Task Knowledge Transfer for Visually-Grounded Navigation—0
ReasonBert: Pre-trained to Reason with Distant Supervision—0
ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains—0
Auto-captions on GIF: A Large-scale Video-sentence Dataset for Vision-language Pre-training—0
An Attention-Based Word-Level Interaction Model: Relation Detection for Knowledge Base Question Answering—0
Reasoning and Tools for Human-Level Forecasting—0
Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering—0
Interpretable LLM-based Table Question Answering—0
Reasoning-Driven Question-Answering for Natural Language Understanding—0
Cross-Task Generalization via Natural Language Crowdsourcing Instructions—0
Reasoning in Conversation: Solving Subjective Tasks through Dialogue Simulation for Large Language Models—0
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models—0
Reasoning Like Program Executors—0
Interpretable Counting for Visual Question Answering—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