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 9351–9375 of 10817 papers

TitleStatusHype
Integrating Vision and Language Datasets to Measure Word Concreteness—0
Intelligent information extraction based on artificial neural network—0
Intent Recognition in Conversational Recommender Systems—0
Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety—0
Biomedical Evidence Generation Engine—0
Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction—0
InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction—0
Interactive Mongolian Question Answer Matching Model Based on Attention Mechanism in the Law Domain—0
Interactive Natural Language Query Construction for Report Generation—0
Interactive-Predictive Machine Translation based on Syntactic Constraints of Prefix—0
Interactive Question Answering Systems: Literature Review—0
Interactive Visual Task Learning for Robots—0
Interleaved Reasoning for Large Language Models via Reinforcement Learning—0
Intermediate Distillation: Data-Efficient Distillation from Black-Box LLMs for Information Retrieval—0
Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering—0
InternalInspector I^2: Robust Confidence Estimation in LLMs through Internal States—0
Internet-augmented language models through few-shot prompting for open-domain question answering—0
Interpretability Analysis of Domain Adapted Dense Retrievers—0
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering—0
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks—0
Dynamic Clue Bottlenecks: Towards Interpretable-by-Design Visual Question Answering—0
Interpretable Counting for Visual Question Answering—0
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models—0
Interpretable LLM-based Table Question Answering—0
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning—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