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 6701–6750 of 10817 papers

TitleStatusHype
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting—0
Few-Shot Upsampling for Protest Size DetectionCode0
StructuralLM: Structural Pre-training for Form Understanding—0
Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-TrainingCode1
VANiLLa : Verbalized Answers in Natural Language at Large ScaleCode0
ReasonBert: Pre-trained to Reason with Distant Supervision—0
Modeling Worlds in TextCode1
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training—0
Multiple Meta-model Quantifying for Medical Visual Question AnsweringCode1
Sentence Extraction-Based Machine Reading Comprehension for Vietnamese—0
Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions—0
NExT-QA:Next Phase of Question-Answering to Explaining Temporal ActionsCode1
Training Heterogeneous Features in Sequence to Sequence Tasks: Latent Enhanced Multi-filter Seq2Seq ModelCode0
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in FinanceCode1
Pay Attention to MLPsCode1
SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services—0
QUASER: Question Answering with Scalable Extractive Rationalization—0
UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering—0
Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval—0
Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention—0
QAConv: Question Answering on Informative ConversationsCode1
Predicting Text Readability from Scrolling InteractionsCode1
Relation-aware Hierarchical Attention Framework for Video Question AnsweringCode0
Building a Question and Answer System for News Domain—0
Encoding Explanatory Knowledge for Zero-shot Science Question Answering—0
Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge GraphsCode1
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using CapsulesCode1
Cross-Modal Generative Augmentation for Visual Question Answering—0
Improving Factual Consistency of Abstractive Summarization via Question AnsweringCode1
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey—0
ExpMRC: Explainability Evaluation for Machine Reading ComprehensionCode1
ReadTwice: Reading Very Large Documents with Memories—0
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic ReasoningCode1
Passage Retrieval for Outside-Knowledge Visual Question AnsweringCode1
Lawformer: A Pre-trained Language Model for Chinese Legal Long DocumentsCode1
D2S: Document-to-Slide Generation Via Query-Based Text SummarizationCode1
A Dataset of Information-Seeking Questions and Answers Anchored in Research PapersCode1
Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference—0
Towards General Natural Language Understanding with Probabilistic WorldbuildingCode1
Learning to Perturb Word Embeddings for Out-of-distribution QACode1
Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention—0
Rethinking Search: Making Domain Experts out of Dilettantes—0
AdaVQA: Overcoming Language Priors with Adapted Margin Cosine LossCode0
Semantic Modeling for Food Recommendation Explanations—0
Conversational Machine Reading Comprehension for Vietnamese Healthcare TextsCode0
Iterated learning for emergent systematicity in VQA—0
Unreasonable Effectiveness of Rule-Based Heuristics in Solving Russian SuperGLUE Tasks—0
A survey on VQA_Datasets and Approaches—0
Towards Bengali Word Embedding: Corpus Creation, Intrinsic and Extrinsic Evaluations—0
When to Fold'em: How to answer Unanswerable questionsCode1
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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