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 8101–8125 of 10817 papers

TitleStatusHype
Abstract Meaning Representation of Constructions: The More We Include, the Better the Representation—0
Reference-free Hallucination Detection for Large Vision-Language Models—0
Representations for Question Answering from Documents with Tables and Text—0
RescueADI: Adaptive Disaster Interpretation in Remote Sensing Images with Autonomous Agents—0
Research Trends for the Interplay between Large Language Models and Knowledge Graphs—0
Assessing The Potential Of Mid-Sized Language Models For Clinical QA—0
REFIND: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models—0
REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via Model Fusion of Embedding Models—0
Refining Implicit Argument Annotation for UCCA—0
GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks—0
Comparative Analysis of Retrieval Systems in the Real World—0
Generating Question Relevant Captions to Aid Visual Question Answering—0
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts—0
Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension—0
Comparative Analysis of Open-Source Language Models in Summarizing Medical Text Data—0
From Questions to Insightful Answers: Building an Informed Chatbot for University Resources—0
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering—0
Rehearsing Answers to Probable Questions with Perspective-Taking—0
Comparative Analysis of Neural QA models on SQuAD—0
GiVE: Guiding Visual Encoder to Perceive Overlooked Information—0
Assessing the performance of Olelo, a real-time biomedical question answering application—0
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition—0
Rephrasing visual questions by specifying the entropy of the answer distribution—0
Reinforced Multi-task Approach for Multi-hop Question Generation—0
GigaPevt: Multimodal Medical Assistant—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