PERSUASIONTRACE introduces a Bayesian-network simulated target for multi-turn persuasion that matches human belief dynamics (81 vs 80) better than LLM baselines (64) and enables process-level evaluation.
Stableflow: Progressive flow-guided scene generation from text
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
StyleText is a new large-scale dataset and benchmark for stylized scene text inpainting, constructed via an automated pipeline and paired with a FluxFill+LoRA baseline that improves OCR accuracy.
Hybrid XGBoost model on CFPB complaints achieves AUC-ROC of 0.78 for predicting monetary relief, outperforming TF-IDF baseline of 0.69.
citing papers explorer
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A Model of Multi-turn Human Persuadability Using Probabilistic Belief Tracing
PERSUASIONTRACE introduces a Bayesian-network simulated target for multi-turn persuasion that matches human belief dynamics (81 vs 80) better than LLM baselines (64) and enables process-level evaluation.
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StyleText: A Large-Scale Dataset and Benchmark for Stylized Scene Text Inpainting
StyleText is a new large-scale dataset and benchmark for stylized scene text inpainting, constructed via an automated pipeline and paired with a FluxFill+LoRA baseline that improves OCR accuracy.
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From Complaint Narratives to Monetary Relief: A Hybrid Machine Learning Framework for CFPB Consumer Complaints
Hybrid XGBoost model on CFPB complaints achieves AUC-ROC of 0.78 for predicting monetary relief, outperforming TF-IDF baseline of 0.69.