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 3951–4000 of 10817 papers

TitleStatusHype
Hierarchical Transformer for Task Oriented Dialog SystemsCode0
High-Order Attention Models for Visual Question AnsweringCode0
Hierarchical Memory Networks for Answer Selection on Unknown WordsCode0
Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question AnsweringCode0
Hierarchical Deep Multi-modal Network for Medical Visual Question AnsweringCode0
CLIFT: Analysing Natural Distribution Shift on Question Answering Models in Clinical DomainCode0
HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language ModelsCode0
Towards Answering Climate Questionnaires from Unstructured Climate ReportsCode0
Hierarchical Graph Network for Multi-hop Question AnsweringCode0
HeroNet: A Hybrid Retrieval-Generation Network for Conversational BotsCode0
Long Context Question Answering via Supervised Contrastive LearningCode0
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question AnsweringCode0
Help Me Identify: Is an LLM+VQA System All We Need to Identify Visual Concepts?Code0
Helmsman of the Masses? Evaluate the Opinion Leadership of Large Language Models in the Werewolf GameCode0
Focal Visual-Text Attention for Memex Question AnsweringCode0
Focal Visual-Text Attention for Visual Question AnsweringCode0
HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph ModelingCode0
HC3 Plus: A Semantic-Invariant Human ChatGPT Comparison CorpusCode0
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
HeySQuAD: A Spoken Question Answering DatasetCode0
Hire Me or Not? Examining Language Model's Behavior with Occupation AttributesCode0
Handling Ontology Gaps in Semantic ParsingCode0
Composition Vision-Language Understanding via Segment and Depth Anything ModelCode0
Compositional Task-Oriented Parsing as Abstractive Question AnsweringCode0
HaluEval-Wild: Evaluating Hallucinations of Language Models in the WildCode0
HALLUCINOGEN: A Benchmark for Evaluating Object Hallucination in Large Visual-Language ModelsCode0
Hallucination Mitigation Prompts Long-term Video UnderstandingCode0
VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC VideosCode0
HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision MakingCode0
HalLoc: Token-level Localization of Hallucinations for Vision Language ModelsCode0
ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge GraphsCode0
Compositional Language Understanding with Text-based Relational ReasoningCode0
Hallucination Benchmark in Medical Visual Question AnsweringCode0
Harnessing the Power of Prompt-based Techniques for Generating School-Level Questions using Large Language ModelsCode0
Compositionality as Lexical SymmetryCode0
Compositional Image-Text Matching and Retrieval by Grounding EntitiesCode0
HAIBU-ReMUD: Reasoning Multimodal Ultrasound Dataset and Model Bridging to General Specific DomainsCode0
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language ModelsCode0
GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace TheoryCode0
Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge TypesCode0
HaleLab_NITK@SMM4H’22: Adaptive Learning Model for Effective Detection, Extraction and Normalization of Adverse Drug Events from Social Media DataCode0
Harnessing the Power of Semi-Structured Knowledge and LLMs with Triplet-Based Prefiltering for Question AnsweringCode0
Grounding Answers for Visual Questions Asked by Visually Impaired PeopleCode0
Grounded Graph Decoding Improves Compositional Generalization in Question AnsweringCode0
A Memory-Network Based Solution for Multivariate Time-Series ForecastingCode0
Faithful Embeddings for Knowledge Base QueriesCode0
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge GraphCode0
Towards Flexible Evaluation for Generative Visual Question AnsweringCode0
GUIDEQ: Framework for Guided Questioning for progressive informational collection and classificationCode0
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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