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

Showing 48514875 of 10817 papers

TitleStatusHype
Exploring the Effect of Primitives for Compositional Generalization in Vision-and-LanguageCode0
Discovering the Real Association: Multimodal Causal Reasoning in Video Question Answering0
VQACL: A Novel Visual Question Answering Continual Learning SettingCode1
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks0
Context-Aware Alignment and Mutual Masking for 3D-Language Pre-TrainingCode1
Rethinking with Retrieval: Faithful Large Language Model InferenceCode1
GPTR: Gestalt-Perception Transformer for Diagram Object Detection0
Hungry Hungry Hippos: Towards Language Modeling with State Space ModelsCode2
Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLPCode7
A Survey on Table-and-Text HybridQA: Concepts, Methods, Challenges and Future Directions0
Large Language Models Encode Clinical KnowledgeCode1
Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question AlignmentCode0
TextBox 2.0: A Text Generation Library with Pre-trained Language ModelsCode3
STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension0
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationCode1
When are Lemons Purple? The Concept Association Bias of Vision-Language Models0
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language ModelsCode0
ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models0
Parallel Context Windows for Large Language ModelsCode1
Analyzing Semantic Faithfulness of Language Models via Input Intervention on Question AnsweringCode0
UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering0
Language models are better than humans at next-token predictionCode0
MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue0
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason?0
Extrinsic Evaluation of Machine Translation Metrics0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified