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 3676–3700 of 10817 papers

TitleStatusHype
Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0—0
Functorial Language Games for Question Answering—0
Generalizable Neuro-symbolic Systems for Commonsense Question Answering—0
Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering—0
Beyond Plain Spatial Knowledge: Determining Where Entities Are and Are Not Located, and For How Long—0
Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering—0
Annotating the Focus of Negation in Japanese Text—0
From Text to Visuals: Using LLMs to Generate Math Diagrams with Vector Graphics—0
Exploring Spatial Language Grounding Through Referring Expressions—0
Exploring Temporal Vagueness with Mechanical Turk—0
Challenge Closed-book Science Exam: A Meta-learning Based Question Answering System—0
Annotating Relation Inference in Context via Question Answering—0
Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering—0
Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering—0
Exploring the Effectiveness of GPT Models in Test-Taking: A Case Study of the Driver's License Knowledge Test—0
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models—0
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs—0
Exploring the Feasibility of ChatGPT for Event Extraction—0
Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions—0
Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering—0
Exploring the Impact of Occupational Personas on Domain-Specific QA—0
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data—0
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking—0
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs—0
Do not let the history haunt you -- Mitigating Compounding Errors in Conversational 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