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 7001–7050 of 10817 papers

TitleStatusHype
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering—0
CDLM: Cross-Document Language ModelingCode1
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge—0
Pano-AVQA: Grounded Audio-Visual Question Answering on 360deg VideosCode1
TRAR: Routing the Attention Spans in Transformer for Visual Question AnsweringCode1
Env-QA: A Video Question Answering Benchmark for Comprehensive Understanding of Dynamic Environments—0
Video Question Answering Using Language-Guided Deep Compressed-Domain Video Feature—0
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide ImagesCode1
Unshuffling Data for Improved Generalization in Visual Question Answering—0
MDETR - Modulated Detection for End-to-End Multi-Modal UnderstandingCode2
Linguistically Routing Capsule Network for Out-of-Distribution Visual Question Answering—0
Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning—0
HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering—0
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned—0
Multi-task Retrieval for Knowledge-Intensive Tasks—0
Rider: Reader-Guided Passage Reranking for Open-Domain Question AnsweringCode1
BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in BanglaCode1
UnitedQA: A Hybrid Approach for Open Domain Question Answering—0
MULTI-SPAN QUESTION ANSWERING USING SPAN-IMAGE NETWORK—0
Learning to Generate Questions by Recovering Answer-containing Sentences—0
PABI: A Unified PAC-Bayesian Informativeness Measure for Incidental Supervision Signals—0
Symbol-Shift Equivariant Neural Networks—0
Cluster-Former: Clustering-based Sparse Transformer for Question Answering—0
VilNMN: A Neural Module Network approach to Video-Grounded Language Tasks—0
Erasure for Advancing: Dynamic Self-Supervised Learning for Commonsense Reasoning—0
Predicting the impact of dataset composition on model performance—0
Pretrain Knowledge-Aware Language Models—0
Block Skim Transformer for Efficient Question Answering—0
Memory Representation in Transformer—0
Learning Contextualized Knowledge Graph Structures for Commonsense Reasoning—0
Differentiable End-to-End Program Executor for Sample and Computationally Efficient VQA—0
ChemistryQA: A Complex Question Answering Dataset from Chemistry—0
CLEAR: Contrastive Learning for Sentence Representation—0
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation—0
AraGPT2: Pre-Trained Transformer for Arabic Language GenerationCode1
ERNIE-Doc: A Retrospective Long-Document Modeling TransformerCode0
Seeing is Knowing! Fact-based Visual Question Answering using Knowledge Graph Embeddings—0
Using Natural Language Relations between Answer Choices for Machine ComprehensionCode0
Coreference Reasoning in Machine Reading ComprehensionCode0
Studying Strategically: Learning to Mask for Closed-book QA—0
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions—0
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive LearningCode1
ECONET: Effective Continual Pretraining of Language Models for Event Temporal ReasoningCode1
Improving BERT with Syntax-aware Local AttentionCode1
A Memory Efficient Baseline for Open Domain Question AnsweringCode1
Detecting Hate Speech in Multi-modal MemesCode1
Presenting a Dataset for Collaborator Recommending Systems in Academic Social Network: a Case Study on ReseachGate—0
UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question AnsweringCode1
Syntax-Enhanced Pre-trained ModelCode1
BURT: BERT-inspired Universal Representation from Learning Meaningful Segment—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