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 8476–8500 of 10817 papers

TitleStatusHype
Experiments on Hybrid Corpus-Based Sentiment Lexicon Acquisition—0
Experiments with Easy-first nonprojective constituent parsing—0
Expert Finding in Community Question Answering: A Review—0
Expert-level vision-language foundation model for real-world radiology and comprehensive evaluation—0
ExpertLongBench: Benchmarking Language Models on Expert-Level Long-Form Generation Tasks with Structured Checklists—0
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey—0
Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development—0
Explainable Assessment of Healthcare Articles with QA—0
Explainable Assessment of Healthcare Articles with QA—0
eXplainable Bayesian Multi-Perspective Generative Retrieval—0
Explainable Fact-checking through Question Answering—0
Explainable Multi-hop Verbal Reasoning Through Internal Monologue—0
Case-Based Abductive Natural Language Inference—0
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering—0
LLM-aided explanations of EDA synthesis errors—0
Explaining non-linear Classifier Decisions within Kernel-based Deep Architectures—0
Explanation as Question Answering based on Design Knowledge—0
Explanation as Question Answering based on a Task Model of the Agent's Design—0
Explanation Container in Case-Based Biomedical Question-Answering—0
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering—0
Explanations for CommonsenseQA: New Dataset and Models—0
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA—0
Explicit Argument Identification for Discourse Parsing In Hindi: A Hybrid Pipeline—0
Explicit Bias Discovery in Visual Question Answering Models—0
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models—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