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 8351–8375 of 10817 papers

TitleStatusHype
PolQA: Polish Question Answering Dataset—0
Large Language Models Can Better Understand Knowledge Graphs Than We Thought—0
Attention Mechanism based Cognition-level Scene Understanding—0
Analyzing Patient Records to Establish If and When a Patient Suffered from a Medical Condition—0
Improving Question Answering over Knowledge Graphs Using Graph Summarization—0
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation—0
Improving Question Answering by Commonsense-Based Pre-Training—0
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen—0
Attention is Not Always What You Need: Towards Efficient Classification of Domain-Specific Text—0
Improving Query Graph Generation for Complex Question Answering over Knowledge Base—0
Improving QA Efficiency with DistilBERT: Fine-Tuning and Inference on mobile Intel CPUs—0
Counterfactual Vision and Language Learning—0
Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Models—0
A Diffusion-based Method for Multi-turn Compositional Image Generation—0
ACE-M^3: Automatic Capability Evaluator for Multimodal Medical Models—0
Improving Opinion-based Question Answering Systems Through Label Error Detection and Overwrite—0
Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text—0
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain—0
Explaining ELH Concept Descriptions through Counterfactual Reasoning—0
Analyzing Language Learned by an Active Question Answering Agent—0
Improving mitosis detection on histopathology images using large vision-language models—0
Attention Guided Semantic Relationship Parsing for Visual Question Answering—0
Improving Long Text Understanding with Knowledge Distilled from Summarization Model—0
Improving LLM First-Token Predictions in Multiple-Choice Question Answering via Prefilling Attack—0
CoT Rerailer: Enhancing the Reliability of Large Language Models in Complex Reasoning Tasks through Error Detection and Correction—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