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 6451–6500 of 10817 papers

TitleStatusHype
Syntax-informed Question Answering with Heterogeneous Graph Transformer—0
COOL, a Context Outlooker, and its Application to Question Answering and other Natural Language Processing Tasks—0
SimVQA: Exploring Simulated Environments for Visual Question Answering—0
VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language TransformersCode0
End-to-End Table Question Answering via Retrieval-Augmented Generation—0
Towards Differential Relational Privacy and its use in Question Answering—0
Auto-MLM: Improved Contrastive Learning for Self-supervised Multi-lingual Knowledge Retrieval—0
ANNA: Enhanced Language Representation for Question Answering—0
Single-Stream Multi-Level Alignment for Vision-Language PretrainingCode0
Design and Development of Rule-based open-domain Question-Answering System on SQuAD v2.0 Dataset—0
MQDD: Pre-training of Multimodal Question Duplicity Detection for Software Engineering DomainCode0
Improving Question Answering over Knowledge Graphs Using Graph Summarization—0
Bilaterally Slimmable Transformer for Elastic and Efficient Visual Question AnsweringCode0
Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering—0
Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings—0
A Theoretically Grounded Benchmark for Evaluating Machine Commonsense—0
WuDaoMM: A large-scale Multi-Modal Dataset for Pre-training models—0
VLSP 2021 - ViMRC Challenge: Vietnamese Machine Reading Comprehension—0
Programming Language Agnostic Mining of Code and Language Pairs with Sequence Labeling Based Question Answering—0
Targeted Extraction of Temporal Facts from Textual Resources for Improved Temporal Question Answering over Knowledge Bases—0
Calibration of Machine Reading Systems at Scale—0
Build a Robust QA System with Transformer-based Mixture of ExpertsCode0
A Neural-Symbolic Approach to Natural Language UnderstandingCode0
Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators—0
elBERto: Self-supervised Commonsense Learning for Question Answering—0
DP-KB: Data Programming with Knowledge Bases Improves Transformer Fine Tuning for Answer Sentence Selection—0
Ask to Understand: Question Generation for Multi-hop Question Answering—0
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of ReferencesCode0
A New Quantum CNN Model for Image Classification—0
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning—0
Can you even tell left from right? Presenting a new challenge for VQA—0
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness—0
CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment—0
Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering—0
Towards Semantic Search for Community Question Answering for Mortgage Officers—0
Efficient Language Modeling with Sparse all-MLP—0
Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health RecordsCode0
Towards Visual-Prompt Temporal Answering Grounding in Medical Instructional Video—0
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation—0
Cross-lingual Inference with A Chinese Entailment GraphCode0
Internet-augmented language models through few-shot prompting for open-domain question answering—0
LEMON: LanguagE ModeL for Negative Sampling of Knowledge Graph Embeddings—0
Barlow constrained optimization for Visual Question AnsweringCode0
Modeling Coreference Relations in Visual Dialog—0
Dynamic Key-value Memory Enhanced Multi-step Graph Reasoning for Knowledge-based Visual Question AnsweringCode0
Recent, rapid advancement in visual question answering architecture: a review—0
Read before Generate! Faithful Long Form Question Answering with Machine Reading—0
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs—0
Semantic Sentence Composition Reasoning for Multi-Hop Question Answering—0
Improving Lexical Embeddings for Robust Question Answering—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