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 7976–8000 of 10817 papers

TitleStatusHype
Interpretation of Natural Language Rules in Conversational Machine Reading—0
Crowdsourcing Inference-Rule Evaluation—0
Interpretable Visual Reasoning via Probabilistic Formulation under Natural Supervision—0
Reactive Multi-Stage Feature Fusion for Multimodal Dialogue Modeling—0
Interpretable Visual Question Answering via Reasoning Supervision—0
Read before Generate! Faithful Long Form Question Answering with Machine Reading—0
Crowdsourcing for the identification of event nominals: an experiment—0
AutoEQA: Auto-Encoding Questions for Extractive Question Answering—0
Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining—0
Interpretable Visual Question Answering by Reasoning on Dependency Trees—0
Crowdsourcing for (almost) Real-time Question Answering—0
Interpretable Visual Question Answering Referring to Outside Knowledge—0
Reading Comprehension using Entity-based Memory Network—0
Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation—0
CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles—0
AutoDrive-QA- Automated Generation of Multiple-Choice Questions for Autonomous Driving Datasets Using Large Vision-Language Models—0
Read + Verify: Machine Reading Comprehension with Unanswerable Questions—0
An Attention Mechanism for Answer Selection Using a Combined Global and Local View—0
ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA—0
ADMUS: A Progressive Question Answering Framework Adaptable to Multiple Knowledge Sources—0
RealCQA-V2 : Visual Premise Proving A Manual COT Dataset for Charts—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
Interpretable Neural Computation for Real-World Compositional 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