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 1651–1700 of 10817 papers

TitleStatusHype
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question AnsweringCode1
Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its ApplicationsCode1
Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New BenchmarkCode1
Multimodal Prompt Retrieval for Generative Visual Question AnsweringCode1
CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City SpaceCode1
Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-TrainingCode1
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image DetectorsCode1
Multiple Meta-model Quantifying for Medical Visual Question AnsweringCode1
MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering ModelsCode1
Building Efficient and Effective OpenQA Systems for Low-Resource LanguagesCode1
MultiSpanQA: A Dataset for Multi-Span Question AnsweringCode1
Multi-Step Reasoning Over Unstructured Text with Beam Dense RetrievalCode1
Discovering Spatio-Temporal Rationales for Video Question AnsweringCode1
Disentangling 3D Prototypical Networks For Few-Shot Concept LearningCode1
Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence AnnotationCode1
Natural Language Reasoning, A SurveyCode1
Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual NoiseCode1
Can Language Models Solve Graph Problems in Natural Language?Code1
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model AdaptationCode1
NeuralQA: A Usable Library for Question Answering (Contextual Query Expansion + BERT) on Large DatasetsCode1
Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under DiscussionCode1
ByT5: Towards a token-free future with pre-trained byte-to-byte modelsCode1
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence AnnotationCode1
CABINET: Content Relevance based Noise Reduction for Table Question AnsweringCode1
Non-Linear Inference Time Intervention: Improving LLM TruthfulnessCode1
DOM-LM: Learning Generalizable Representations for HTML DocumentsCode1
NLQuAD: A Non-Factoid Long Question Answering Data SetCode1
CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information ManagementCode1
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RLCode1
CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systemsCode1
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought PromptingCode1
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real ImagesCode1
Calibrating Factual Knowledge in Pretrained Language ModelsCode1
Calibrating Large Language Models Using Their Generations OnlyCode1
DialogLM: Pre-trained Model for Long Dialogue Understanding and SummarizationCode1
NuScenes-MQA: Integrated Evaluation of Captions and QA for Autonomous Driving Datasets using Markup AnnotationsCode1
DialSim: A Real-Time Simulator for Evaluating Long-Term Multi-Party Dialogue Understanding of Conversational AgentsCode1
o3-mini vs DeepSeek-R1: Which One is Safer?Code1
DEXTER: A Benchmark for open-domain Complex Question Answering using LLMsCode1
OLAPH: Improving Factuality in Biomedical Long-form Question AnsweringCode1
Dialog Inpainting: Turning Documents into DialogsCode1
A Personalized Dense Retrieval Framework for Unified Information AccessCode1
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning StrategiesCode1
Detecting Hate Speech in Multi-modal MemesCode1
Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resourcesCode1
A Survey of Medical Vision-and-Language Applications and Their TechniquesCode1
Detecting and Preventing Hallucinations in Large Vision Language ModelsCode1
One-Versus-Others Attention: Scalable Multimodal Integration for Biomedical DataCode1
DeVLBert: Learning Deconfounded Visio-Linguistic RepresentationsCode1
Differentiable Reasoning on Large Knowledge Bases and Natural LanguageCode1
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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