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 9601–9650 of 10817 papers

TitleStatusHype
Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal ModelsCode0
Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-AnsweringCode0
Large-scale Exploration of Neural Relation Classification ArchitecturesCode0
Multi-Page Document Visual Question Answering using Self-Attention Scoring MechanismCode0
Analyzing Sustainability Reports Using Natural Language ProcessingCode0
Compositional Task-Oriented Parsing as Abstractive Question AnsweringCode0
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question AnsweringCode0
Question-Answering System Extracts Information on Injection Drug Use from Clinical NotesCode0
Pipeline and Dataset Generation for Automated Fact-checking in Almost Any LanguageCode0
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data ScienceCode0
Localizing and Mitigating Errors in Long-form Question AnsweringCode0
Multi-Perspective Context Matching for Machine ComprehensionCode0
PipeNet: Question Answering with Semantic Pruning over Knowledge GraphsCode0
Large-scale Simple Question Answering with Memory NetworksCode0
Benchmarking Vision-Language Contrastive Methods for Medical Representation LearningCode0
Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the OceanCode0
Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answeringCode0
Compositional Language Understanding with Text-based Relational ReasoningCode0
Latent Alignment and Variational AttentionCode0
Latent Alignment of Procedural Concepts in Multimodal RecipesCode0
Findings of the VarDial Evaluation Campaign 2022Code0
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?Code0
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language ModelsCode0
A Dual-Attention Learning Network with Word and Sentence Embedding for Medical Visual Question AnsweringCode0
Compositionality as Lexical SymmetryCode0
Benchmarking Multimodal RAG through a Chart-based Document Question-Answering Generation FrameworkCode0
PitVQA++: Vector Matrix-Low-Rank Adaptation for Open-Ended Visual Question Answering in Pituitary SurgeryCode0
Compositional Image-Text Matching and Retrieval by Grounding EntitiesCode0
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge GraphCode0
Finding Generalizable Evidence by Learning to Convince Q&A ModelsCode0
FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation FrameworkCode0
Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask QuestionsCode0
Question answering system of bridge design specification based on large language modelCode0
A Baseline Temporal Tagger for all LanguagesCode0
FFCI: A Framework for Interpretable Automatic Evaluation of SummarizationCode0
Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference ResolutionCode0
Few-Shot Upsampling for Protest Size DetectionCode0
LayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingCode0
Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse DomainsCode0
Towards Flexible Evaluation for Generative Visual Question AnsweringCode0
Benchmarking Long-tail Generalization with Likelihood SplitsCode0
Multi-Sourced Compositional Generalization in Visual Question AnsweringCode0
Benchmarking LLM-based Relevance Judgment MethodsCode0
Few-Shot Multimodal Explanation for Visual Question AnsweringCode0
Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word ProblemCode0
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question AnsweringCode0
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading ComprehensionCode0
Leap-LSTM: Enhancing Long Short-Term Memory for Text CategorizationCode0
Few-Shot Multilingual Open-Domain QA from 5 ExamplesCode0
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answeringCode0
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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