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 5751–5775 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
Testing AI on language comprehension tasks reveals insensitivity to underlying meaning—0
Extracting Victim Counts from TextCode0
Dr ChatGPT, tell me what I want to hear: How prompt knowledge impacts health answer correctness—0
EVJVQA Challenge: Multilingual Visual Question Answering—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
Real-World Deployment and Evaluation of Kwame for Science, An AI Teaching Assistant for Science Education in West Africa—0
Reusable Slotwise Mechanisms—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
Product Question Answering in E-Commerce: A Survey—0
Bridge the Gap between Language models and Tabular Understanding—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
Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents—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