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 8551–8600 of 10817 papers

TitleStatusHype
Exploring Temporal Vagueness with Mechanical Turk—0
Exploring the BERT Cross-Lingual Transferability: a Case Study in Reading Comprehension—0
Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering—0
Exploring the Effectiveness of GPT Models in Test-Taking: A Case Study of the Driver's License Knowledge Test—0
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models—0
Exploring the Feasibility of ChatGPT for Event Extraction—0
Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions—0
Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering—0
Exploring the Impact of Occupational Personas on Domain-Specific QA—0
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data—0
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking—0
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs—0
Exploring The Landscape of Distributional Robustness for Question Answering Models—0
Do Large Language Models have Shared Weaknesses in Medical Question Answering?—0
Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs—0
Exploring The Spatial Reasoning Ability of Neural Models in Human IQ Tests—0
Exploring the Viability of Synthetic Query Generation for Relevance Prediction—0
How Additional Knowledge can Improve Natural Language Commonsense Question Answering?—0
Exploring Weaknesses of VQA Models through Attribution Driven Insights—0
EXPR at SemEval-2018 Task 9: A Combined Approach for Hypernym Discovery—0
Extended Named Entity Recognition API and Its Applications in Language Education—0
Extending Neural Question Answering with Linguistic Input Features—0
Extending the Frontier of ChatGPT: Code Generation and Debugging—0
EKTVQA: Generalized use of External Knowledge to empower Scene Text in Text-VQA—0
Extracting Context-Rich Entailment Rules from Wikipedia Revision History—0
Extracting Definitions and Hypernym Relations relying on Syntactic Dependencies and Support Vector Machines—0
Extracting Emotion Phrases from Tweets using BART—0
Extracting Factual Min/Max Age Information from Clinical Trial Studies—0
Extracting News Web Page Creation Time with DCTFinder—0
Extracting Opinion Expressions with semi-Markov Conditional Random Fields—0
Extracting Procedural Knowledge from Technical Documents—0
Extracting Psychological Indicators Using Question Answering—0
Extracting Semantics from Maintenance Records—0
Extracting Spatial Entities and Relations in Korean Text—0
Extracting Time Expressions from Clinical Text—0
Extracting Training Data from Document-Based VQA Models—0
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions—0
Extraction of Daily Changing Words for Question Answering—0
Extraction of Product Specifications from the Web -- Going Beyond Tables and Lists—0
Extractive Headline Generation Based on Learning to Rank for Community Question Answering—0
Extractive NarrativeQA with Heuristic Pre-Training—0
Extractive Question Answering on Queries in Hindi and Tamil—0
Extreme Classification for Answer Type Prediction in Question Answering—0
Extrinsic Evaluation of Machine Translation Metrics—0
EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging—0
Look Before You Decide: Prompting Active Deduction of MLLMs for Assumptive Reasoning—0
Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes—0
FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering—0
FaBERT: Pre-training BERT on Persian Blogs—0
FabGPT: An Efficient Large Multimodal Model for Complex Wafer Defect Knowledge Queries—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