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 5801–5850 of 10817 papers

TitleStatusHype
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language ModelsCode0
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering—0
Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction—0
HRVQA: A Visual Question Answering Benchmark for High-Resolution Aerial Images—0
Ensemble Transfer Learning for Multilingual Coreference Resolution—0
Rationalization for Explainable NLP: A Survey—0
Weakly-Supervised Questions for Zero-Shot Relation ExtractionCode0
Reversing The Twenty Questions Game—0
Towards Models that Can See and Read—0
Temporal Perceiving Video-Language Pre-training—0
Curriculum Script Distillation for Multilingual Visual Question Answering—0
Explaining ELH Concept Descriptions through Counterfactual Reasoning—0
Towards Answering Climate Questionnaires from Unstructured Climate ReportsCode0
Semantic Web Enabled Geographic Question Answering Framework: GeoTR—0
There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question AnsweringCode0
Language Models sounds the Death Knell of Knowledge Graphs—0
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models—0
MAQA: A Multimodal QA Benchmark for Negation—0
A Brain-inspired Memory Transformation based Differentiable Neural Computer for Reasoning-based Question Answering—0
Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules—0
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm—0
Adaptively Clustering Neighbor Elements for Image-Text GenerationCode0
Emotion-Cause Pair Extraction as Question Answering—0
Learning Trajectory-Word Alignments for Video-Language Tasks—0
Topic Segmentation Model Focusing on Local Context—0
PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation from Small Corpora—0
From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models—0
Exploring the Effect of Primitives for Compositional Generalization in Vision-and-LanguageCode0
Exploring Temporal Concurrency for Video-Language Representation LearningCode0
RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases—0
Discovering the Real Association: Multimodal Causal Reasoning in Video Question Answering—0
Knowledge Proxy Intervention for Deconfounded Video Question Answering—0
Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering—0
IS-GGT: Iterative Scene Graph Generation With Generative Transformers—0
PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3—0
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks—0
Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical KnowledgeCode0
GPTR: Gestalt-Perception Transformer for Diagram Object Detection—0
A Survey on Table-and-Text HybridQA: Concepts, Methods, Challenges and Future Directions—0
Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question AlignmentCode0
STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension—0
When are Lemons Purple? The Concept Association Bias of Vision-Language Models—0
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language ModelsCode0
UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering—0
Language models are better than humans at next-token predictionCode0
ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models—0
Analyzing Semantic Faithfulness of Language Models via Input Intervention on Question AnsweringCode0
Extrinsic Evaluation of Machine Translation Metrics—0
On-the-fly Denoising for Data Augmentation in Natural Language UnderstandingCode0
MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue—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