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 5501–5525 of 10817 papers

TitleStatusHype
Enhanced Chart Understanding in Vision and Language Task via Cross-modal Pre-training on Plot Table Pairs—0
GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking—0
Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs—0
HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa LanguageCode0
Modularized Zero-shot VQA with Pre-trained ModelsCode0
Answering Unanswered Questions through Semantic Reformulations in Spoken QA—0
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language ModelsCode0
Mindstorms in Natural Language-Based Societies of Mind—0
Submodular Minimax Optimization: Finding Effective Sets—0
Zero-shot Visual Question Answering with Language Model FeedbackCode0
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question AnsweringCode0
An Empirical Comparison of LM-based Question and Answer Generation Methods—0
The Dangers of trusting Stochastic Parrots: Faithfulness and Trust in Open-domain Conversational Question Answering—0
BUCA: A Binary Classification Approach to Unsupervised Commonsense Question AnsweringCode0
UFO: Unified Fact Obtaining for Commonsense Question AnsweringCode0
ToMChallenges: A Principle-Guided Dataset and Diverse Evaluation Tasks for Exploring Theory of MindCode0
Extracting Psychological Indicators Using Question Answering—0
Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering—0
EXnet: Efficient In-context Learning for Data-less Text classification—0
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question AnsweringCode0
Selectively Answering Ambiguous Questions—0
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy—0
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought—0
Cross-lingual QA: A Key to Unlocking In-context Cross-lingual Performance—0
Unlocking Temporal Question Answering for Large Language Models with Tailor-Made Reasoning LogicCode0
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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