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 9076–9100 of 10817 papers

TitleStatusHype
History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling—0
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation—0
Hitachi at SemEval-2016 Task 12: A Hybrid Approach for Temporal Information Extraction from Clinical Notes—0
Hitachi at SemEval-2017 Task 12: System for temporal information extraction from clinical notes—0
HIT&QMUL at SemEval-2022 Task 9: Label-Enclosed Generative Question Answering (LEG-QA)—0
HITSZ-ICRC: An Integration Approach for QA TempEval Challenge—0
HITSZ-ICRC: Exploiting Classification Approach for Answer Selection in Community Question Answering—0
HLT-FBK: a Complete Temporal Processing System for QA TempEval—0
HOI-Ref: Hand-Object Interaction Referral in Egocentric Vision—0
Holistic Multi-modal Memory Network for Movie Question Answering—0
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs—0
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model—0
HopPG: Self-Iterative Program Generation for Multi-Hop Question Answering over Heterogeneous Knowledge—0
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions—0
HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision—0
How Can Objects Help Video-Language Understanding?—0
How Context Affects Language Models' Factual Predictions—0
How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations—0
How do Negation and Modality Impact on Opinions?—0
How do QA models combine knowledge from LM and 100 passages?—0
How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering?—0
How Generative-AI can be Effectively used in Government Chatbots—0
How good are deep models in understanding the generated images?—0
How good are Large Language Models on African Languages?—0
How Much Can CLIP Benefit Vision-and-Language Tasks?—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