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 8451–8475 of 10817 papers

TitleStatusHype
Event Extraction as Machine Reading Comprehension—0
Event Extraction as Multi-turn Question Answering—0
Event Extraction for Portuguese: A QA-driven Approach using ACE-2005—0
Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs—0
Event-Related Features in Feedforward Neural Networks Contribute to Identifying Causal Relations in Discourse—0
EventWiki: A Knowledge Base of Major Events—0
Everything Can Be Described in Words: A Simple Unified Multi-Modal Framework with Semantic and Temporal Alignment—0
Everything is a Video: Unifying Modalities through Next-Frame Prediction—0
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems—0
Evidence-Enhanced Triplet Generation Framework for Hallucination Alleviation in Generative Question Answering—0
EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering—0
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks—0
E-ViLM: Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer—0
EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering—0
EvolveSearch: An Iterative Self-Evolving Search Agent—0
Evolving LLMs' Self-Refinement Capability via Iterative Preference Optimization—0
EVQAScore: Efficient Video Question Answering Data Evaluation—0
EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems—0
Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery—0
Excitatory or Inhibitory: A New Semantic Orientation Extracts Contradiction and Causality from the Web—0
EXnet: Efficient In-context Learning for Data-less Text classification—0
Expanding Frozen Vision-Language Models without Retraining: Towards Improved Robot Perception—0
Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language Models—0
Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding—0
Experimenting with Legal AI Solutions: The Case of Question-Answering for Access to Justice—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