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 9301–9325 of 10817 papers

TitleStatusHype
Inducing Example-based Semantic Frames from a Massive Amount of Verb Uses—0
Inducing Latent Semantic Relations for Structured Distributional Semantics—0
Inducing Neural Models of Script Knowledge—0
Inducing Script Structure from Crowdsourced Event Descriptions via Semi-Supervised Clustering—0
In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering—0
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs—0
Inference to the Best Explanation in Large Language Models—0
Inferring Binary Relation Schemas for Open Information Extraction—0
InfographicVQA—0
Information Discovery in e-Commerce—0
Information Extraction From Co-Occurring Similar Entities—0
Information Extraction from Documents: Question Answering vs Token Classification in real-world setups—0
Information Extraction over Structured Data: Question Answering with Freebase—0
Information Gathering in Networks via Active Exploration—0
Information Navigation System Based on POMDP that Tracks User Focus—0
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes—0
Initial Steps for Building a Lexicon of Adjectives with Scalemates—0
InkubaLM: A small language model for low-resource African languages—0
Inner Attention based Recurrent Neural Networks for Answer Selection—0
InnerThoughts: Disentangling Representations and Predictions in Large Language Models—0
Innovative Bert-based Reranking Language Models for Speech Recognition—0
Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning—0
Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding—0
InsertGNN: Can Graph Neural Networks Outperform Humans in TOEFL Sentence Insertion Problem?—0
Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in 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