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 5751–5800 of 10817 papers

TitleStatusHype
Choice Fusion as Knowledge for Zero-Shot Dialogue State TrackingCode0
Medical visual question answering using joint self-supervised learning—0
Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback—0
Time-aware Multiway Adaptive Fusion Network for Temporal Knowledge Graph Question Answering—0
Extracting Victim Counts from TextCode0
EVJVQA Challenge: Multilingual Visual Question Answering—0
Dr ChatGPT, tell me what I want to hear: How prompt knowledge impacts health answer correctness—0
Testing AI on language comprehension tasks reveals insensitivity to underlying meaning—0
MFBE: Leveraging Multi-Field Information of FAQs for Efficient Dense RetrievalCode0
VinVL+L: Enriching Visual Representation with Location Context in VQACode0
Construction of Knowledge Graphs: State and Challenges—0
Reusable Slotwise Mechanisms—0
Real-World Deployment and Evaluation of Kwame for Science, An AI Teaching Assistant for Science Education in West Africa—0
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training—0
Few-shot Multimodal Multitask Multilingual Learning—0
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning—0
Bridge Damage Cause Estimation Using Multiple Images Based on Visual Question Answering—0
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE—0
Complex QA and language models hybrid architectures, Survey—0
Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media—0
Bridge the Gap between Language models and Tabular Understanding—0
Product Question Answering in E-Commerce: A Survey—0
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?—0
Effects of Locality and Rule Language on Explanations for Knowledge Graph Embeddings—0
Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points—0
Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents—0
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark—0
Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes—0
Alloprof: a new French question-answer education dataset and its use in an information retrieval case studyCode0
Is Multimodal Vision Supervision Beneficial to Language?Code0
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty MeasurementCode0
ControversialQA: Exploring Controversy in Question Answering—0
A Biomedical Knowledge Graph for Biomarker Discovery in Cancer—0
Explanation Selection Using Unlabeled Data for Chain-of-Thought PromptingCode0
Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical StudyCode0
ELBA: Learning by Asking for Embodied Visual Navigation and Task Completion—0
ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbots—0
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends—0
Efficient End-to-End Video Question Answering with Pyramidal Multimodal TransformerCode0
idT5: Indonesian Version of Multilingual T5 Transformer—0
Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization—0
Faithful Chain-of-Thought ReasoningCode0
CSAT‑FTCN: A Fuzzy‑Oriented Model with Contextual Self‑attention Network for Multimodal Emotion Recognition—0
HeroNet: A Hybrid Retrieval-Generation Network for Conversational BotsCode0
BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution Generalization of VQA ModelsCode0
ACL-Fig: A Dataset for Scientific Figure Classification—0
Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation—0
Graph Attention with Hierarchies for Multi-hop Question Answering—0
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering—0
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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