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 6251–6275 of 10817 papers

TitleStatusHype
Learning Better Sentence Representation with Syntax Information—0
Metaethical Perspectives on 'Benchmarking' AI Ethics—0
Learning Based Approaches for Vietnamese Question Classification Using Keywords Extraction from the Web—0
Differential Information: An Information-Theoretic Perspective on Preference Optimization—0
Learning Answer Generation using Supervision from Automatic Question Answering Evaluators—0
Learning Answer-Entailing Structures for Machine Comprehension—0
Allies: Prompting Large Language Model with Beam Search—0
An Evolutionary Large Language Model for Hallucination Mitigation—0
Adversarial Sampling and Training for Semi-Supervised Information Retrieval—0
Learning Answer Embeddings for Visual Question Answering—0
Learning and Knowledge Transfer with Memory Networks for Machine Comprehension—0
Meta-prompting Optimized Retrieval-augmented Generation—0
Learning and Evaluating General Linguistic Intelligence—0
MetaQA: Combining Expert Agents for Multi-Skill Question Answering—0
MetaReflection: Learning Instructions for Language Agents using Past Reflections—0
MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification—0
Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification—0
Learning Analogy-Preserving Sentence Embeddings for Answer Selection—0
Method of Tibetan Person Knowledge Extraction—0
Methods Combination and ML-based Re-ranking of Multiple Hypothesis for Question-Answering Systems—0
Learning Adaptable Patterns for Passage Reranking—0
MF2-MVQA: A Multi-stage Feature Fusion method for Medical Visual Question Answering—0
Differentiable End-to-End Program Executor for Sample and Computationally Efficient VQA—0
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering—0
An Evaluation of Recent Neural Sequence Tagging Models in Turkish Named Entity Recognition—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