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 6001–6050 of 10817 papers

TitleStatusHype
LongT5: Efficient Text-To-Text Transformer for Long SequencesCode1
3D Question Answering—0
Learning to Transpile AMR into SPARQL—0
Few-shot Multi-hop Question Answering over Knowledge Base—0
Learning to Retrieve Passages without SupervisionCode1
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question AnsweringCode1
Tackling Query-Focused Summarization as A Knowledge-Intensive Task: A Pilot Study—0
CoCo-BERT: Improving Video-Language Pre-training with Contrastive Cross-modal Matching and Denoising—0
You Only Need One Model for Open-domain Question Answering—0
Multi-Row, Multi-Span Distant Supervision For Table+Text Question—0
Dual-Key Multimodal Backdoors for Visual Question AnsweringCode1
Explanation Container in Case-Based Biomedical Question-Answering—0
Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection—0
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts—0
Change Detection Meets Visual Question AnsweringCode1
Video as Conditional Graph Hierarchy for Multi-Granular Question AnsweringCode1
Injecting Numerical Reasoning Skills into Knowledge Base Question Answering ModelsCode0
Findings on Conversation Disentanglement—0
TempoQR: Temporal Question Reasoning over Knowledge GraphsCode1
Improving the Question Answering Quality using Answer Candidate Filtering based on Natural-Language Features—0
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation—0
VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface Modeling—0
Semantic Search as Extractive Paraphrase Span DetectionCode0
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph EmbeddingsCode1
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
Prompt-based Zero-shot Relation Extraction with Semantic Knowledge AugmentationCode0
Improving language models by retrieving from trillions of tokensCode0
Semantic Answer Type and Relation Prediction Task (SMART 2021)—0
Natural Answer Generation: From Factoid Answer to Full-length Answer using Grammar Correction—0
Automated Story Generation as Question-Answering—0
Question Answering Survey: Directions, Challenges, Datasets, Evaluation Matrices—0
JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question AnsweringCode1
MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering—0
Causal Distillation for Language ModelsCode1
A Russian Jeopardy! Data Set for Question-Answering SystemsCode0
MetaQA: Combining Expert Agents for Multi-Skill Question AnsweringCode1
Multitask Finetuning for Improving Neural Machine Translation in Indian Languages—0
Context-Dependent Semantic Parsing for Temporal Relation Extraction—0
eaVQA: An Experimental Analysis on Visual Question Answering Models—0
Evaluation of Review Summaries via Question-Answering—0
Curriculum Learning Effectively Improves Low Data VQA—0
Information Theoretic Representation DistillationCode1
Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering—0
Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning—0
Debiased Visual Question Answering from Feature and Sample PerspectivesCode1
Robust Visual Reasoning via Language Guided Neural Module Networks—0
AssistSR: Task-oriented Video Segment Retrieval for Personal AI AssistantCode1
Classification-Regression for Chart ComprehensionCode1
Searching the Search Space of Vision TransformerCode1
Action based Network for Conversation Question Reformulation—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