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 3901–3950 of 10817 papers

TitleStatusHype
Consistency Training by Synthetic Question Generation for Conversational Question AnsweringCode0
How Modular Should Neural Module Networks Be for Systematic Generalization?Code0
Consistency of Compositional Generalization across Multiple LevelsCode0
AdCare-VLM: Leveraging Large Vision Language Model (LVLM) to Monitor Long-Term Medication Adherence and CareCode0
How FaR Are Large Language Models From Agents with Theory-of-Mind?Code0
A Study on Large Language Models' Limitations in Multiple-Choice Question AnsweringCode0
Fine-Tuning and Retrieval Augmented Generation for Question Answering Using Affordable Large Language ModelsCode0
ArtQuest: Countering Hidden Language Biases in ArtVQACode0
HLV-1K: A Large-scale Hour-Long Video Benchmark for Time-Specific Long Video UnderstandingCode0
Uncovering the Full Potential of Visual Grounding Methods in VQACode0
AdaVQA: Overcoming Language Priors with Adapted Margin Cosine LossCode0
A Russian Jeopardy! Data Set for Question-Answering SystemsCode0
How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the WildCode0
Understanding the World's Museums through Vision-Language ReasoningCode0
ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive PretrainingCode0
Conditioning LSTM Decoder and Bi-directional Attention Based Question Answering SystemCode0
High-Order Attention Models for Visual Question AnsweringCode0
Unification-based Reconstruction of Multi-hop Explanations for Science QuestionsCode0
Hire Me or Not? Examining Language Model's Behavior with Occupation AttributesCode0
A Study of MatchPyramid Models on Ad-hoc RetrievalCode0
Concise Answers to Complex Questions: Summarization of Long-form AnswersCode0
Hierarchical Transformer for Task Oriented Dialog SystemsCode0
Hierarchical Deep Multi-modal Network for Medical Visual Question AnsweringCode0
Fine Tuning vs. Retrieval Augmented Generation for Less Popular KnowledgeCode0
Hierarchical Graph Network for Multi-hop Question AnsweringCode0
AMQA: An Adversarial Dataset for Benchmarking Bias of LLMs in Medicine and HealthcareCode0
Hierarchical Memory Networks for Answer Selection on Unknown WordsCode0
HeySQuAD: A Spoken Question Answering DatasetCode0
HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language ModelsCode0
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question AnsweringCode0
HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph ModelingCode0
How much do LLMs learn from negative examples?Code0
Image Question Answering using Convolutional Neural Network with Dynamic Parameter PredictionCode0
Intent Classification in Question-Answering Using LSTM ArchitecturesCode0
HC3 Plus: A Semantic-Invariant Human ChatGPT Comparison CorpusCode0
Harnessing the Power of Semi-Structured Knowledge and LLMs with Triplet-Based Prefiltering for Question AnsweringCode0
CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over ImagesCode0
Unleashing the Potentials of Likelihood Composition for Multi-modal Language ModelsCode0
CLEVR\_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over ImagesCode0
HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa LanguageCode0
HCqa: Hybrid and Complex Question Answering on Textual Corpus and Knowledge GraphCode0
FiVL: A Framework for Improved Vision-Language AlignmentCode0
Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question AnsweringCode0
Handling Ontology Gaps in Semantic ParsingCode0
HaluEval-Wild: Evaluating Hallucinations of Language Models in the WildCode0
Harnessing the Power of Prompt-based Techniques for Generating School-Level Questions using Large Language ModelsCode0
Helmsman of the Masses? Evaluate the Opinion Leadership of Large Language Models in the Werewolf GameCode0
Hallucination Mitigation Prompts Long-term Video UnderstandingCode0
Hallucination Benchmark in Medical Visual Question AnsweringCode0
HALLUCINOGEN: A Benchmark for Evaluating Object Hallucination in Large Visual-Language ModelsCode0
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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