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 6676–6700 of 10817 papers

TitleStatusHype
Context-based Transformer Models for Answer Sentence Selection—0
A Multimodal Dense Retrieval Approach for Speech-Based Open-Domain Question Answering—0
MultiModalQA: Complex Question Answering over Text, Tables and Images—0
Neural Clinical Paraphrase Generation with Attention—0
Multimodal Reasoning with Multimodal Knowledge Graph—0
Multimodal Representations for Teacher-Guided Compositional Visual Reasoning—0
Multimodal Reranking for Knowledge-Intensive Visual Question Answering—0
But What Do We Actually Know?—0
Multi-Modal Retrieval Augmentation for Open-Ended and Knowledge-Intensive Video Question Answering—0
Multi-Modal Retrieval For Large Language Model Based Speech Recognition—0
Multi-modal Retrieval of Tables and Texts Using Tri-encoder Models—0
Neural Contextual Conversation Learning with Labeled Question-Answering Pairs—0
Neural Knowledge Bank for Pretrained Transformers—0
Multimodal Transformer With a Low-Computational-Cost Guarantee—0
Multimodal Transformer with Pointer Network for the DSTC8 AVSD Challenge—0
Neural Program Planner for Structured Predictions—0
Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction—0
Multimodal Use of an Upper-Level Event Ontology—0
Multi-Module System for Open Domain Chinese Question Answering over Knowledge Base—0
Hierarchical Topic Structuring: From Dense Segmentation to Topically Focused Fragments via Burst Analysis—0
Multi-object event graph representation learning for Video Question Answering—0
Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs—0
Enhancing Software-Related Information Extraction via Single-Choice Question Answering with Large Language Models—0
Hierarchical Topical Segmentation with Affinity Propagation—0
Context based Text-generation using LSTM networks—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