SOTAVerified

Document Classification

Document Classification is a procedure of assigning one or more labels to a document from a predetermined set of labels.

Source: Long-length Legal Document Classification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 641 papers

TitleStatusHype
Can Reasoning LLMs Enhance Clinical Document Classification?Code0
Text Chunking for Document Classification for Urban System Management using Large Language ModelsCode0
Evaluating Negative Sampling Approaches for Neural Topic ModelsCode0
Converting Transformers into DGNNs FormCode0
Cross-Entropy Attacks to Language Models via Rare Event SimulationCode0
On Importance of Layer Pruning for Smaller BERT Models and Low Resource Languages—0
Data-Driven Self-Supervised Graph Representation LearningCode0
Extreme Multi-label Completion for Semantic Document Labelling with Taxonomy-Aware Parallel Learning—0
Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models—0
Label Errors in the Tobacco3482 DatasetCode0
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All datasetsReuters-21578CoraHOCBBCSportAmazonTwitterAAPDClassicIMDb-MRecipeSciDocs (MAG)SciDocs (MeSH)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Document Classification Using Importance of SentencesAccuracy54.8—Unverified
2LSTM-reg (single model)Accuracy52.8—Unverified