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 9026–9050 of 10817 papers

TitleStatusHype
Harnessing AI for efficient analysis of complex policy documents: a case study of Executive Order 14110—0
Harnessing Large Vision and Language Models in Agriculture: A Review—0
Harnessing Multilingual Resources to Question Answering in Arabic—0
HARPY: Hypernyms and Alignment of Relational Paraphrases—0
Harvesting Parallel News Streams to Generate Paraphrases of Event Relations—0
Harvest Video Foundation Models via Efficient Post-Pretraining—0
Hashing based Answer Selection—0
HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering—0
HAUR: Human Annotation Understanding and Recognition Through Text-Heavy Images—0
HausaNLP: Current Status, Challenges and Future Directions for Hausa Natural Language Processing—0
Have You Seen That Number? Investigating Extrapolation in Question Answering Models—0
HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate Semantic Textual Similarity—0
HD-RAG: Retrieval-Augmented Generation for Hybrid Documents Containing Text and Hierarchical Tables—0
Headline Generation: Learning from Decomposable Document Titles—0
HEAD-QA: A Healthcare Dataset for Complex Reasoning—0
HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations—0
Healthy LLMs? Benchmarking LLM Knowledge of UK Government Public Health Information—0
Helpful or Harmful? Exploring the Efficacy of Large Language Models for Online Grooming Prevention—0
HENRY-CORE: Domain Adaptation and Stacking for Text Similarity—0
Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data—0
HeRo: RoBERTa and Longformer Hebrew Language Models—0
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning—0
HFST-SweNER --- A New NER Resource for Swedish—0
HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies—0
Hierarchical Banzhaf Interaction for General Video-Language Representation Learning—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