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 1501–1550 of 10817 papers

TitleStatusHype
MixGen: A New Multi-Modal Data AugmentationCode1
Zero-Shot Video Question Answering via Frozen Bidirectional Language ModelsCode1
Coarse-to-Fine Vision-Language Pre-training with Fusion in the BackboneCode1
LAVENDER: Unifying Video-Language Understanding as Masked Language ModelingCode1
Memory-Based Model Editing at ScaleCode1
Ask to Know More: Generating Counterfactual Explanations for Fake ClaimsCode1
Learning to Ask Like a PhysicianCode1
No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot RetrievalCode1
Invariant Grounding for Video Question AnsweringCode1
A-OKVQA: A Benchmark for Visual Question Answering using World KnowledgeCode1
TCE at Qur'an QA 2022: Arabic Language Question Answering Over Holy Qur'an Using a Post-Processed Ensemble of BERT-based ModelsCode1
Revisiting the "Video" in Video-Language UnderstandingCode1
MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual DataCode1
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question AnsweringCode1
TCE at Qur’an QA 2022: Arabic Language Question Answering Over Holy Qur’an Using a Post-Processed Ensemble of BERT-based ModelsCode1
Question Answering Classification for Amharic Social Media Community Based QuestionsCode1
VIMQA: A Vietnamese Dataset for Advanced Reasoning and Explainable Multi-hop Question AnsweringCode1
Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and ReasoningCode1
From Representation to Reasoning: Towards both Evidence and Commonsense Reasoning for Video Question-AnsweringCode1
EA^2E: Improving Consistency with Event Awareness for Document-Level Argument ExtractionCode1
ZusammenQA: Data Augmentation with Specialized Models for Cross-lingual Open-retrieval Question Answering SystemCode1
Temporal knowledge graph question answering via subgraph reasoningCode1
kNN-Prompt: Nearest Neighbor Zero-Shot InferenceCode1
Learning Dialogue Representations from Consecutive UtterancesCode1
Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question AnsweringCode1
Optimizing Test-Time Query Representations for Dense RetrievalCode1
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular DataCode1
Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard ContextsCode1
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connectionsCode1
On Measuring Social Biases in Prompt-Based Multi-Task LearningCode1
Prompt Tuning for Discriminative Pre-trained Language ModelsCode1
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering ModelsCode1
Relphormer: Relational Graph Transformer for Knowledge Graph RepresentationsCode1
Language Models with Image Descriptors are Strong Few-Shot Video-Language LearnersCode1
Table Retrieval May Not Necessitate Table-specific Model DesignCode1
Automated Crossword SolvingCode1
Entailment Tree Explanations via Iterative Retrieval-Generation ReasonerCode1
Dialog Inpainting: Turning Documents into DialogsCode1
Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?Code1
Learning to Answer Visual Questions from Web VideosCode1
UL2: Unifying Language Learning ParadigmsCode1
ProQA: Structural Prompt-based Pre-training for Unified Question AnsweringCode1
The Unreliability of Explanations in Few-shot Prompting for Textual ReasoningCode1
METGEN: A Module-Based Entailment Tree Generation Framework for Answer ExplanationCode1
Declaration-based Prompt Tuning for Visual Question AnsweringCode1
DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related QueriesCode1
Paragraph-based Transformer Pre-training for Multi-Sentence InferenceCode1
HOSMEL: A Hot-Swappable Modularized Entity Linking Toolkit for ChineseCode1
Engineering flexible machine learning systems by traversing functionally-invariant pathsCode1
Clues Before Answers: Generation-Enhanced Multiple-Choice QACode1
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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