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 5376–5400 of 10817 papers

TitleStatusHype
Contributions to the Improvement of Question Answering Systems in the Biomedical Domain—0
GPT-3 Models are Few-Shot Financial Reasoners—0
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models—0
Fast Knowledge Graph Completion using Graphics Processing Units—0
Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Models—0
A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks—0
MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question AnsweringCode0
Prompting Large Language Models with Speech Recognition Abilities—0
Robust Visual Question Answering: Datasets, Methods, and Future Challenges—0
UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition—0
Towards Ontologically Grounded and Language-Agnostic Knowledge Graphs—0
A reinforcement learning approach for VQA validation: an application to diabetic macular edema grading—0
Towards a performance analysis on pre-trained Visual Question Answering models for autonomous drivingCode0
Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla—0
Traffic-Domain Video Question Answering with Automatic Captioning—0
Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation—0
Generative Visual Question Answering—0
Extending the Frontier of ChatGPT: Code Generation and Debugging—0
PAT: Parallel Attention Transformer for Visual Question Answering in Vietnamese—0
TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT—0
Fast Quantum Algorithm for Attention Computation—0
A Neural-Symbolic Approach Towards Identifying Grammatically Correct Sentences—0
A scoping review on multimodal deep learning in biomedical images and texts—0
Sensi-BERT: Towards Sensitivity Driven Fine-Tuning for Parameter-Efficient BERT—0
MegaWika: Millions of reports and their sources across 50 diverse languages—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