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 3201–3225 of 10817 papers

TitleStatusHype
DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering—0
DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification—0
Binding Touch to Everything: Learning Unified Multimodal Tactile Representations—0
Exploiting Portuguese Lexical Knowledge Bases for Answering Open Domain Cloze Questions Automatically—0
Exploiting Rich Syntax for Better Knowledge Base Question Answering—0
Embodied Multimodal Multitask Learning—0
DUT-BIM at MEDIQA 2019: Utilizing Transformer Network and Medical Domain-Specific Contextualized Representations for Question Answering—0
Duplicate Question Retrieval and Confirmation Time Prediction in Software Communities—0
A Novel DeBERTa-based Model for Financial Question Answering Task—0
Embodied Scene Understanding for Vision Language Models via MetaVQA—0
DUBLIN -- Document Understanding By Language-Image Network—0
Bridge Damage Cause Estimation Using Multiple Images Based on Visual Question Answering—0
Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision—0
Emily: Developing An Emotion-affective Open-Domain Chatbot with Knowledge Graph-based Persona—0
A Novel Computational and Modeling Foundation for Automatic Coherence Assessment—0
Emotion-Cause Pair Extraction as Question Answering—0
A Frustratingly Easy Improvement for Position Embeddings via Random Padding—0
Emotion Classification of COVID-19 Chinese Microblogs based on the Emotion Category Description—0
60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answering—0
Empirically-motivated Generalizations of CCG Semantic Parsing Learning Algorithms—0
Empirical Methods for the Study of Denotation in Nominalizations in Spanish—0
Empirical Risk Minimization for Probabilistic Grammars: Sample Complexity and Hardness of Learning—0
DUAL: Textless Spoken Question Answering with Speech Discrete Unit Adaptive Learning—0
Empirical Study on Deep Learning Models for Question Answering—0
Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition—0
Show:102550
← PrevPage 129 of 433Next →
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