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 901–950 of 10817 papers

TitleStatusHype
DSPNet: Dual-vision Scene Perception for Robust 3D Question AnsweringCode1
Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP EducationCode1
DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace EditingCode1
GRIT: General Robust Image Task BenchmarkCode1
Grounded Multi-Hop VideoQA in Long-Form Egocentric VideosCode1
An Optimal Algorithm for Finding Champions in Tournament GraphsCode1
DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical DomainCode1
Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World EnvironmentsCode1
DOM-LM: Learning Generalizable Representations for HTML DocumentsCode1
Are Deep Neural Networks SMARTer than Second Graders?Code1
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset BiasesCode1
DREAM: Improving Situational QA by First Elaborating the SituationCode1
DocVXQA: Context-Aware Visual Explanations for Document Question AnsweringCode1
Hengam: An Adversarially Trained Transformer for Persian Temporal TaggingCode1
DocVQA: A Dataset for VQA on Document ImagesCode1
DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceCode1
Hierarchical multimodal transformers for Multi-Page DocVQACode1
Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models Aligned with Human Cognitive PrinciplesCode1
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language UnderstandingCode1
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language GenerationCode1
Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific InformationCode1
Ditch the Gold Standard: Re-evaluating Conversational Question AnsweringCode1
HOSMEL: A Hot-Swappable Modularized Entity Linking Toolkit for ChineseCode1
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question AnsweringCode1
ALaRM: Align Language Models via Hierarchical Rewards ModelingCode1
Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and SayingsCode1
Distinguishing Ignorance from Error in LLM HallucinationsCode1
Diversify Question Generation with Retrieval-Augmented Style TransferCode1
How Language Model Hallucinations Can SnowballCode1
Distilled Dual-Encoder Model for Vision-Language UnderstandingCode1
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterCode1
How to Get Your LLM to Generate Challenging Problems for EvaluationCode1
Distilling Knowledge from Reader to Retriever for Question AnsweringCode1
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and IntentsCode1
Does Vision-and-Language Pretraining Improve Lexical Grounding?Code1
Dual-Key Multimodal Backdoors for Visual Question AnsweringCode1
Discovering Spatio-Temporal Rationales for Video Question AnsweringCode1
Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question AnsweringCode1
Disentangling 3D Prototypical Networks For Few-Shot Concept LearningCode1
An Empirical Study of Pre-trained Transformers for Arabic Information ExtractionCode1
I Can't Believe There's No Images! Learning Visual Tasks Using only Language SupervisionCode1
Are Vision Language Models Ready for Clinical Diagnosis? A 3D Medical Benchmark for Tumor-centric Visual Question AnsweringCode1
Can We Talk Models Into Seeing the World Differently?Code1
Abg-CoQA: Clarifying Ambiguity in Conversational Question AnsweringCode1
IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design PatentsCode1
Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under DiscussionCode1
Improving Factual Consistency of Abstractive Summarization via Question AnsweringCode1
Improving Language Understanding by Generative Pre-TrainingCode1
DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question AnsweringCode1
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge GraphsCode1
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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