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 5051–5100 of 10817 papers

TitleStatusHype
CS1QA: A Dataset for Assisting Code-based Question Answering in an Introductory Programming CourseCode1
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering—0
Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems—0
Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question AnsweringCode0
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question AnsweringCode1
Bridging the Training-Inference Gap for Dense Phrase Retrieval—0
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence—0
Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision—0
Speeding Up Question Answering Task of Language Models via Inverted Index—0
ReaRev: Adaptive Reasoning for Question Answering over Knowledge GraphsCode1
VLC-BERT: Visual Question Answering with Contextualized Commonsense KnowledgeCode1
Event-Centric Question Answering via Contrastive Learning and Invertible Event TransformationCode0
Multi-Type Conversational Question-Answer Generation with Closed-ended and Unanswerable Questions—0
TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge BasesCode0
RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data—0
TAPE: Assessing Few-shot Russian Language UnderstandingCode0
Cross-document Event Coreference Search: Task, Dataset and ModelingCode1
Knowledge Transfer from Answer Ranking to Answer Generation—0
Exploring The Landscape of Distributional Robustness for Question Answering Models—0
P^3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training—0
ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning ExamplesCode1
Open-domain Question Answering via Chain of Reasoning over Heterogeneous KnowledgeCode1
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language ModelsCode1
Leveraging Large Language Models for Multiple Choice Question AnsweringCode1
Varifocal Question Generation for Fact-checkingCode0
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