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 9751–9775 of 10817 papers

TitleStatusHype
What or Who is Multilingual Watson?—0
What Question Answering can Learn from Trivia Nerds—0
What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning—0
What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams—0
What's in your Head? Emergent Behaviour in Multi-Task Transformer Models—0
What’s in Your Head? Emergent Behaviour in Multi-Task Transformer Models—0
What Would a Teacher Do? Predicting Future Talk Moves—0
What Would it Take to get Biomedical QA Systems into Practice?—0
When ACE met KBP: End-to-End Evaluation of Knowledge Base Population with Component-level Annotation—0
When are Lemons Purple? The Concept Association Bias of Vision-Language Models—0
When Crowd Meets Persona: Creating a Large-Scale Open-Domain Persona Dialogue Corpus—0
When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust—0
When is dataset cartography ineffective? Using training dynamics does not improve robustness against Adversarial SQuAD—0
When to Read Documents or QA History: On Unified and Selective Open-domain QA—0
When to Speak, When to Abstain: Contrastive Decoding with Abstention—0
When Two LLMs Debate, Both Think They'll Win—0
Where is Linked Data in Question Answering over Linked Data?—0
Where is this coming from? Making groundedness count in the evaluation of Document VQA models—0
Where To Look: Focus Regions for Visual Question Answering—0
Where Was Alexander the Great in 325 BC? Toward Understanding History Text with a World Model—0
Where Was COVID-19 First Discovered? Designing a Question-Answering System for Pandemic Situations—0
Which Client is Reliable?: A Reliable and Personalized Prompt-based Federated Learning for Medical Image Question Answering—0
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering—0
Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above—0
Which Step Do I Take First? Troubleshooting with Bayesian 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