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 5076–5100 of 10817 papers

TitleStatusHype
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning—0
GraphNeT: Graph neural networks for neutrino telescope event reconstructionCode1
Efficiently Tuned Parameters are Task EmbeddingsCode1
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling—0
LittleBird: Efficient Faster & Longer Transformer for Question Answering—0
InforMask: Unsupervised Informative Masking for Language Model PretrainingCode1
Multi-view Semantic Matching of Question retrieval using Fine-grained Semantic Representations—0
PoseScript: Linking 3D Human Poses and Natural LanguageCode2
WikiWhy: Answering and Explaining Cause-and-Effect Questions—0
Scaling Instruction-Finetuned Language ModelsCode3
Pre-training Language Models with Deterministic Factual Knowledge—0
Composing Ensembles of Pre-trained Models via Iterative Consensus—0
Large Language Models Can Self-Improve—0
Transcending Scaling Laws with 0.1% Extra Compute—0
Perception Test: A Diagnostic Benchmark for Multimodal ModelsCode2
Two-Turn Debate Doesn't Help Humans Answer Hard Reading Comprehension Questions—0
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive AdaptationCode0
Image Semantic Relation Generation—0
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and MiningCode4
MuGER^2: Multi-Granularity Evidence Retrieval and Reasoning for Hybrid Question AnsweringCode2
Dense but Efficient VideoQA for Intricate Compositional Reasoning—0
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-RankingCode1
Aligning MAGMA by Few-Shot Learning and Finetuning—0
Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering—0
ELASTIC: Numerical Reasoning with Adaptive Symbolic CompilerCode1
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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