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 14511500 of 10817 papers

TitleStatusHype
Towards Improving Faithfulness in Abstractive SummarizationCode1
Recitation-Augmented Language ModelsCode1
Logical Form Generation via Multi-task Learning for Complex Question Answering over Knowledge BasesCode1
Linearly Mapping from Image to Text SpaceCode1
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge BasesCode1
TVLT: Textless Vision-Language TransformerCode1
Towards Explainable 3D Grounded Visual Question Answering: A New Benchmark and Strong BaselineCode1
Variational Open-Domain Question AnsweringCode1
Adapting Pretrained Text-to-Text Models for Long Text SequencesCode1
Dynamic Relevance Graph Network for Knowledge-Aware Question AnsweringCode1
CodeQueries: A Dataset of Semantic Queries over CodeCode1
Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based DecoderCode1
ScreenQA: Large-Scale Question-Answer Pairs over Mobile App ScreenshotsCode1
MaXM: Towards Multilingual Visual Question AnsweringCode1
An Empirical Study of End-to-End Video-Language Transformers with Masked Visual ModelingCode1
Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal RetrievalCode1
Why Do Neural Language Models Still Need Commonsense Knowledge to Handle Semantic Variations in Question Answering?Code1
Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA TaskCode1
Prompting as Probing: Using Language Models for Knowledge Base ConstructionCode1
Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question AnsweringCode1
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QACode1
Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce SearchCode1
CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical ReasoningCode1
ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal UnderstandingCode1
Generative Bias for Robust Visual Question AnsweringCode1
RealTime QA: What's the Answer Right Now?Code1
Cross-Modal Causal Relational Reasoning for Event-Level Visual Question AnsweringCode1
LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text InjectionCode1
Equivariant and Invariant Grounding for Video Question AnsweringCode1
μKG: A Library for Multi-source Knowledge Graph Embeddings and ApplicationsCode1
Rethinking Data Augmentation for Robust Visual Question AnsweringCode1
Can large language models reason about medical questions?Code1
Clover: Towards A Unified Video-Language Alignment and Fusion ModelCode1
Re2G: Retrieve, Rerank, GenerateCode1
Video Graph Transformer for Video Question AnsweringCode1
ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named EntitiesCode1
Embedding Recycling for Language ModelsCode1
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question AnsweringCode1
CoQAR: Question Rewriting on CoQACode1
Weakly Supervised Grounding for VQA in Vision-Language TransformersCode1
INSCIT: Information-Seeking Conversations with Mixed-Initiative InteractionsCode1
EA^2E: Improving Consistency with Event Awareness for Document-Level Argument ExtractionCode1
MultiSpanQA: A Dataset for Multi-Span Question AnsweringCode1
CL-ReLKT: Cross-lingual Language Knowledge Transfer for Multilingual Retrieval Question AnsweringCode1
A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQACode1
CC-Riddle: A Question Answering Dataset of Chinese Character RiddlesCode1
Consistency-preserving Visual Question Answering in Medical ImagingCode1
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight ImportanceCode1
Surgical-VQA: Visual Question Answering in Surgical Scenes using TransformerCode1
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RLCode1
Show:102550
← PrevPage 30 of 217Next →

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