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 8951–9000 of 10817 papers

TitleStatusHype
Answer Complex Questions: Path Ranker Is All You NeedCode0
Did the Model Understand the Question?Code0
Building a Swedish Question-Answering ModelCode0
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question PromptsCode0
Open-Set Knowledge-Based Visual Question Answering with Inference PathsCode0
OpenTable-R1: A Reinforcement Learning Augmented Tool Agent for Open-Domain Table Question AnsweringCode0
Dice Loss for Data-imbalanced NLP TasksCode0
MIMO: A Medical Vision Language Model with Visual Referring Multimodal Input and Pixel Grounding Multimodal OutputCode0
QuASE: Question-Answer Driven Sentence EncodingCode0
Adaptively Clustering Neighbor Elements for Image-Text GenerationCode0
Ask Your Neurons: A Deep Learning Approach to Visual Question AnsweringCode0
Improving language models by retrieving from trillions of tokensCode0
OpenViVQA: Task, Dataset, and Multimodal Fusion Models for Visual Question Answering in VietnameseCode0
In-Context Principle Learning from MistakesCode0
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligenceCode0
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase IndexCode0
Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMsCode0
Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge BaseCode0
Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRFCode0
Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal KnowledgeCode0
Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering PairsCode0
Building a Non-Trivial Paraphrase Corpus Using Multiple Machine Translation SystemsCode0
Improving Knowledge-aware Dialogue Generation via Knowledge Base Question AnsweringCode0
Diagnosing Medical Datasets with Training DynamicsCode0
Building a Dictionary of Affixal NegationsCode0
Improving Health Question Answering with Reliable and Time-Aware Evidence RetrievalCode0
Improving Event Duration Question Answering by Leveraging Existing Temporal Information Extraction DataCode0
Diagnosing and Mitigating Modality Interference in Multimodal Large Language ModelsCode0
Detrimental Contexts in Open-Domain Question AnsweringCode0
Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct ExamplesCode0
Detecting Temporal Ambiguity in QuestionsCode0
MinIE: Minimizing Facts in Open Information ExtractionCode0
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based InferenceCode0
DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-ExpertsCode0
Minimax and Neyman-Pearson Meta-Learning for Outlier LanguagesCode0
Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness ControlCode0
Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted LearningCode0
OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking ExperienceCode0
Improving Consistency in Large Language Models through Chain of GuidanceCode0
Indic-Transformers: An Analysis of Transformer Language Models for Indian LanguagesCode0
Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question AlignmentCode0
OPIEC: An Open Information Extraction CorpusCode0
Improve Query Focused Abstractive Summarization by Incorporating Answer RelevanceCode0
Opinion-aware Answer Generation for Review-driven Question Answering in E-CommerceCode0
An Open Source Contractual Language Understanding Application Using Machine LearningCode0
Reshaping Free-Text Radiology Notes Into Structured Reports With Generative TransformersCode0
(QA)^2: Question Answering with Questionable AssumptionsCode0
Inducing Temporal Relations from Time Anchor AnnotationCode0
Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word RepresentationsCode0
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QACode0
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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