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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1801–1850 of 10817 papers

TitleStatusHype
SciFive: a text-to-text transformer model for biomedical literatureCode1
CoSQA: 20,000+ Web Queries for Code Search and Question AnsweringCode1
Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question AnsweringCode1
Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-TrainingCode1
Modeling Worlds in TextCode1
Multiple Meta-model Quantifying for Medical Visual Question AnsweringCode1
NExT-QA:Next Phase of Question-Answering to Explaining Temporal ActionsCode1
Pay Attention to MLPsCode1
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in FinanceCode1
QAConv: Question Answering on Informative ConversationsCode1
Predicting Text Readability from Scrolling InteractionsCode1
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using CapsulesCode1
Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge GraphsCode1
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic ReasoningCode1
ExpMRC: Explainability Evaluation for Machine Reading ComprehensionCode1
Improving Factual Consistency of Abstractive Summarization via Question AnsweringCode1
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
Learning to Perturb Word Embeddings for Out-of-distribution QACode1
Towards General Natural Language Understanding with Probabilistic WorldbuildingCode1
When to Fold'em: How to answer Unanswerable questionsCode1
Hidden Backdoors in Human-Centric Language ModelsCode1
Entailment as Few-Shot LearnerCode1
MDETR -- Modulated Detection for End-to-End Multi-Modal UnderstandingCode1
PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel ComputationCode1
RelTransformer: A Transformer-Based Long-Tail Visual Relationship RecognitionCode1
GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question AnsweringCode1
X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question AnsweringCode1
ELECTRAMed: a new pre-trained language representation model for biomedical NLPCode1
GooAQ: Open Question Answering with Diverse Answer TypesCode1
MT6: Multilingual Pretrained Text-to-Text Transformer with Translation PairsCode1
Can NLI Models Verify QA Systems' Predictions?Code1
When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD DatasetCode1
Explaining Answers with Entailment TreesCode1
Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual EnvironmentsCode1
Capturing Row and Column Semantics in Transformer Based Question Answering over TablesCode1
Q^2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question AnsweringCode1
IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language GenerationCode1
What to Pre-Train on? Efficient Intermediate Task SelectionCode1
ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation ReasoningCode1
Editing Factual Knowledge in Language ModelsCode1
Time-Stamped Language Model: Teaching Language Models to Understand the Flow of EventsCode1
Sequence tagging for biomedical extractive question answeringCode1
Designing a Minimal Retrieve-and-Read System for Open-Domain Question AnsweringCode1
How to Train BERT with an Academic BudgetCode1
TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation GraphCode1
TWEAC: Transformer with Extendable QA Agent ClassifiersCode1
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question AnsweringCode1
Show:102550
← PrevPage 37 of 217Next →
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