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 1101–1150 of 10817 papers

TitleStatusHype
EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question AnsweringCode1
DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related QueriesCode1
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language ModelsCode1
DSPNet: Dual-vision Scene Perception for Robust 3D Question AnsweringCode1
Dual-Key Multimodal Backdoors for Visual Question AnsweringCode1
DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace EditingCode1
DREAM: Improving Situational QA by First Elaborating the SituationCode1
A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQACode1
A Comparative Study of Pretrained Language Models for Long Clinical TextCode1
DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical DomainCode1
Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question AnsweringCode1
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQACode1
Does Vision-and-Language Pretraining Improve Lexical Grounding?Code1
DOM-LM: Learning Generalizable Representations for HTML DocumentsCode1
An Empirical Study of End-to-End Video-Language Transformers with Masked Visual ModelingCode1
Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific InformationCode1
Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World EnvironmentsCode1
DocVQA: A Dataset for VQA on Document ImagesCode1
DocVXQA: Context-Aware Visual Explanations for Document Question AnsweringCode1
DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceCode1
Integrating UMLS Knowledge into Large Language Models for Medical Question AnsweringCode1
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset BiasesCode1
Distinguishing Ignorance from Error in LLM HallucinationsCode1
Advancing High Resolution Vision-Language Models in BiomedicineCode1
Ditch the Gold Standard: Re-evaluating Conversational Question AnsweringCode1
Distilled Dual-Encoder Model for Vision-Language UnderstandingCode1
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterCode1
Distilling Knowledge from Reader to Retriever for Question AnsweringCode1
Diversify Question Generation with Retrieval-Augmented Style TransferCode1
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question AnsweringCode1
OK-VQA: A Visual Question Answering Benchmark Requiring External KnowledgeCode1
Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence AnnotationCode1
Advances of Transformer-Based Models for News Headline GenerationCode1
A Unified Encoder-Decoder Framework with Entity MemoryCode1
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence AnnotationCode1
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and IntentsCode1
EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP ApplicationsCode1
Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain ReasonerCode1
Visual Grounding Methods for VQA are Working for the Wrong Reasons!Code1
Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual NoiseCode1
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP TasksCode1
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge GraphsCode1
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning StrategiesCode1
DialSim: A Real-Time Simulator for Evaluating Long-Term Multi-Party Dialogue Understanding of Conversational AgentsCode1
Differentiable Reasoning on Large Knowledge Bases and Natural LanguageCode1
DialogLM: Pre-trained Model for Long Dialogue Understanding and SummarizationCode1
Dialog Inpainting: Turning Documents into DialogsCode1
Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under DiscussionCode1
Detecting Hate Speech in Multi-modal MemesCode1
Anchor-based Large Language ModelsCode1
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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