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 6551–6575 of 10817 papers

TitleStatusHype
All You May Need for VQA are Image Captions—0
Framework for Weakly Supervised Causal Knowledge Extraction from Text—0
CL-ReKD: Cross-lingual Knowledge Distillation for Multilingual Retrieval Question Answering—0
FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining—0
Fine-tuning Strategies for Domain Specific Question Answering under Low Annotation Budget Constraints—0
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks—0
FAQ Search using Transformers—0
Causal Distillation for Language Models—0
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks—0
Natural Language Deduction through Search over Statement Compositions—0
ERNIE-Layout: Layout-Knowledge Enhanced Multi-modal Pre-training for Document UnderstandingCode0
Tapping BERT for Preposition Sense Disambiguation—0
Mosaic Augmentation for Text: Cropping and Collaging as Cross-Domain Techniques—0
MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation—0
Task Formulation Matters When Learning Continuously: A Case Study in Visual Question Answering—0
Modeling Exemplification in Long-form Question Answering via Retrieval—0
Breaking Character: Are Subwords Good Enough for MRLs After All?—0
MixQG: Neural Question Generation with Mixed Answer Types—0
Mining Information from Event Structure Relation Graph for Event Argument Extraction—0
MetaQA: Combining Expert Agents for Multi-Skill Question Answering—0
MetaICL: Learning to Learn In Context—0
Dynamic Relevance Graph Network for Knowledge-Aware Question Answering—0
MANGO: Enhancing the Robustness of VQA Models via Adversarial Noise Generation—0
DUAL: Textless Spoken Question Answering with Speech Discrete Unit Adaptive Learning—0
Logical Story Representations via FrameNet + Semantic Parsing—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