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 7176–7200 of 10817 papers

TitleStatusHype
Opinion Mining with Deep Recurrent Neural Networks—0
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health—0
A Comparative Study of Conversion Aided Methods for WordNet Sentence Textual Similarity—0
KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation—0
Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System—0
Optimising Tree Edit Distance with Subtrees for Textual Entailment—0
Optimization of Retrieval-Augmented Generation Context with Outlier Detection—0
KIQA: Knowledge-Infused Question Answering Model for Financial Table-Text Data—0
Decoupled Context Processing for Context Augmented Language Modeling—0
AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation—0
KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph—0
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering—0
Optimizing Explanations by Network Canonization and Hyperparameter Search—0
KG-RAG: Bridging the Gap Between Knowledge and Creativity—0
Optimizing LLMs with Direct Preferences: A Data Efficiency Perspective—0
Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering—0
Optimizing open-domain question answering with graph-based retrieval augmented generation—0
Automatic Thesaurus Construction for Modern Hebrew—0
An Empirical Study of Combing Multiple Models in Bengali Question Classification—0
KgPLM: Knowledge-guided Language Model Pre-training via Generative and Discriminative Learning—0
KG-MTT-BERT: Knowledge Graph Enhanced BERT for Multi-Type Medical Text Classification—0
KGI: An Integrated Framework for Knowledge Intensive Language Tasks—0
Decontextualization: Making Sentences Stand-Alone—0
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering—0
Decomposing Consumer Health Questions—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