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 6876–6900 of 10817 papers

TitleStatusHype
Knowledge Proxy Intervention for Deconfounded Video Question Answering—0
Knowledge Portability with Semantic Expansion of Ontology Labels—0
Neural Relation Extraction with Multi-lingual Attention—0
Neural Relation Prediction for Simple Question Answering over Knowledge Graph—0
Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation—0
KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph—0
Neural Self Talk: Image Understanding via Continuous Questioning and Answering—0
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering—0
Knowledge Models for Cancer Clinical Practice Guidelines : Construction, Management and Usage in Question Answering—0
Knowledge Informed Semantic Parsing for Conversational Question Answering—0
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models—0
Delexicalized transfer parsing for low-resource languages using transformed and combined treebanks—0
An End-to-End Deep Framework for Answer Triggering with a Novel Group-Level Objective—0
Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension—0
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs—0
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT—0
A Comparative Study of Transformer-Based Language Models on Extractive Question Answering—0
Neural Transition Based Parsing of Web Queries: An Entity Based Approach—0
KnowledgeHub: An end-to-end Tool for Assisted Scientific Discovery—0
Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Training—0
A Visual Question Answering Method for SAR Ship: Breaking the Requirement for Multimodal Dataset Construction and Model Fine-Tuning—0
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA—0
Knowledge Guided Named Entity Recognition for BioMedical Text—0
Knowledge Graphs: The Future of Data Integration and Insightful Discovery—0
Knowledge Graphs Querying—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