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 6851–6900 of 10817 papers

TitleStatusHype
`Just because you are right, doesn't mean I am wrong': Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks—0
Complex Question Answering on knowledge graphs using machine translation and multi-task learning—0
Structural Encoding and Pre-training Matter: Adapting BERT for Table-Based Fact Verification—0
FeTaQA: Free-form Table Question AnsweringCode1
CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning—0
Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering—0
Towards General Purpose Vision SystemsCode1
UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training—0
Are Bias Mitigation Techniques for Deep Learning Effective?Code1
Analysis on Image Set Visual Question Answering—0
AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning—0
Domain-robust VQA with diverse datasets and methods but no target labels—0
SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic EventsCode1
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder TransformersCode1
'Just because you are right, doesn't mean I am wrong': Overcoming a Bottleneck in the Development and Evaluation of Open-Ended Visual Question Answering (VQA) TasksCode0
InsertGNN: Can Graph Neural Networks Outperform Humans in TOEFL Sentence Insertion Problem?—0
A Comprehensive Review of the Video-to-Text ProblemCode1
You Can Do Better! If You Elaborate the Reason When Making Prediction—0
Generating and Evaluating Explanations of Attended and Error-Inducing Input Regions for VQA Models—0
On the hidden treasure of dialog in video question answeringCode1
Visual Grounding Strategies for Text-Only Natural Language Processing—0
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask BenchmarkCode1
Fabula Entropy Indexing: Objective Measures of Story Coherence—0
QuestEval: Summarization Asks for Fact-based EvaluationCode1
Multi-Modal Answer Validation for Knowledge-Based VQACode1
Complex Factoid Question Answering with a Free-Text Knowledge Graph—0
Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval MarginalizationCode0
Open Domain Question Answering over Tables via Dense Retrieval—0
How to Design Sample and Computationally Efficient VQA Models—0
Complementary Evidence Identification in Open-Domain Question Answering—0
Self-Supervised Test-Time Learning for Reading Comprehension—0
Attention-based model for predicting question relatedness on Stack Overflow—0
Controllable Generation from Pre-trained Language Models via Inverse PromptingCode1
A Comprehensive Survey of Scene Graphs: Generation and Application—0
SILT: Efficient transformer training for inter-lingual inferenceCode0
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQACode0
Towards Few-Shot Fact-Checking via Perplexity—0
KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph—0
A Multilingual African Embedding for FAQ Chatbots—0
ParaQA: A Question Answering Dataset with Paraphrase Responses for Single-Turn ConversationCode0
Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge GraphsCode0
Characterizing Misclassifications of Deep NLP Models—0
Cooperative Self-training of Machine Reading ComprehensionCode1
Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering—0
Knowledge Graph Question Answering using Graph-Pattern IsomorphismCode1
Hurdles to Progress in Long-form Question AnsweringCode1
RL-CSDia: Representation Learning of Computer Science Diagrams—0
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question AnsweringCode0
MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension—0
A Survey of Embodied AI: From Simulators to Research Tasks—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