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  1. Home
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  3. MUTEX: Leveraging Multilingual Transformers and Conditional
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MUTEX: Leveraging Multilingual Transformers and Conditional Random Fields for Enhanced Urdu Toxic Span Detection

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Viability
0.0/10

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Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 65

Proof: pending

Distribution: unknown

Source paper: MUTEX: Leveraging Multilingual Transformers and Conditional Random Fields for Enhanced Urdu Toxic Span Detection

PDF: https://arxiv.org/pdf/2603.05057v1

First buyer signal: unknown

Distribution channel: unknown

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Dimensions overall score 6.0

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Builds On This
Detecting Toxic Language: Ontology and BERT-based Approaches for Bulgarian Text
Score 5.0down
Builds On This
ContiGuard: A Framework for Continual Toxicity Detection Against Evolving Evasive Perturbations
Score 3.0down
Builds On This
Multilingual Financial Fraud Detection Using Machine Learning and Transformer Models: A Bangla-English Study
Score 5.0down
Builds On This
Evaluating Cross-Lingual Classification Approaches Enabling Topic Discovery for Multilingual Social Media Data
Score 5.0down
Prior Work
UrduBench: An Urdu Reasoning Benchmark using Contextually Ensembled Translations with Human-in-the-Loop
Score 6.0stable
Higher Viability
ULTRA:Urdu Language Transformer-based Recommendation Architecture
Score 7.0up
Higher Viability
Unveiling Covert Toxicity in Multimodal Data via Toxicity Association Graphs: A Graph-Based Metric and Interpretable Detection Framework
Score 8.0up
Competing Approach
A Fusion of context-aware based BanglaBERT and Two-Layer Stacked LSTM Framework for Multi-Label Cyberbullying Detection
Score 6.0stable

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