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 2601–2625 of 10817 papers

TitleStatusHype
CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models—0
FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering—0
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic SpaceCode1
Backpropagation-Free Multi-modal On-Device Model Adaptation via Cloud-Device Collaboration—0
Efficient and Interpretable Information Retrieval for Product Question Answering with Heterogeneous DataCode0
Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs—0
MentalQA: An Annotated Arabic Corpus for Questions and Answers of Mental Healthcare—0
OLAPH: Improving Factuality in Biomedical Long-form Question AnsweringCode1
Dataset and Benchmark for Urdu Natural Scenes Text Detection, Recognition and Visual Question AnsweringCode0
ProtT3: Protein-to-Text Generation for Text-based Protein UnderstandingCode2
MTVQA: Benchmarking Multilingual Text-Centric Visual Question AnsweringCode2
KG-RAG: Bridging the Gap Between Knowledge and Creativity—0
Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!—0
Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning—0
Case-Based Reasoning Approach for Solving Financial Question Answering—0
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing—0
EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging—0
VideoQA-SC: Adaptive Semantic Communication for Video Question Answering—0
Evaluation of large language model performance on the Biomedical Language Understanding and Reasoning Benchmark—0
LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions—0
Towards Better Question Generation in QA-based Event ExtractionCode1
Efficient Multimodal Large Language Models: A SurveyCode3
StackOverflowVQA: Stack Overflow Visual Question Answering Dataset—0
KnowledgeHub: An end-to-end Tool for Assisted Scientific Discovery—0
Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality—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