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 8301–8325 of 10817 papers

TitleStatusHype
``Look, some Green Circles!'': Learning to Quantify from Images—0
Generating Dialogue Agents via Automated Planning—0
Rewriting Conversational Utterances with Instructed Large Language Models—0
Combining Heterogeneous Models for Measuring Relational Similarity—0
ReWind: Understanding Long Videos with Instructed Learnable Memory—0
Revolutionizing Retrieval-Augmented Generation with Enhanced PDF Structure Recognition—0
Combining dependency information and generalization in a pattern-based approach to the classification of lexical-semantic relation instances—0
Generating clickbait spoilers with an ensemble of large language models—0
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images—0
Generating Answering Patterns from Factoid Arabic Questions—0
Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization—0
Revisiting the Superficial Alignment Hypothesis—0
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer—0
ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding—0
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering—0
Rhetorical relations markers in Russian RST Treebank—0
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence—0
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge—0
Generating Answer Candidates for Quizzes and Answer-Aware Question Generators—0
RS-MoE: Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering—0
Right-truncatable Neural Word Embeddings—0
RikiNet: Reading Wikipedia Pages for Natural Question Answering—0
Ripple Down Rules for Question Answering—0
Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling—0
Revisiting the Open-Domain Question Answering Pipeline—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