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 6526–6550 of 10817 papers

TitleStatusHype
mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation—0
Contextual Breach: Assessing the Robustness of Transformer-based QA Models—0
MRC-based Nested Medical NER with Co-prediction and Adaptive Pre-training—0
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs—0
Cofca: A Step-Wise Counterfactual Multi-hop QA benchmark—0
Holistic Multi-modal Memory Network for Movie Question Answering—0
MRNN: A Multi-Resolution Neural Network with Duplex Attention for Document Retrieval in the Context of Question Answering—0
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training—0
MrRank: Improving Question Answering Retrieval System through Multi-Result Ranking Model—0
Contextual Aware Joint Probability Model Towards Question Answering System—0
A Survey on Expert Recommendation in Community Question Answering—0
End-to-end Spoken Conversational Question Answering: Task, Dataset and Model—0
Addressing Community Question Answering in English and Arabic—0
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification—0
HOI-Ref: Hand-Object Interaction Referral in Egocentric Vision—0
Context-Sensitive Inference Rule Discovery: A Graph-Based Method—0
Addressing Class Imbalance for Improved Recognition of Implicit Discourse Relations—0
Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering—0
HLT-FBK: a Complete Temporal Processing System for QA TempEval—0
MTL-SLT: Multi-Task Learning for Spoken Language Tasks—0
MT Quality Estimation: The CMU System for WMT’13—0
A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning—0
HITSZ-ICRC: Exploiting Classification Approach for Answer Selection in Community Question Answering—0
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering—0
Context-Paraphrase Enhanced Commonsense Question Answering—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