Author

Farbod Tavakkoli

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#artificial intelligence Preprint Oct 2026

Learning Probabilistic Logic Programs with Functional Gradient Guided Language Models

Declarative logic programs offer a powerful and interpretable abstraction for encoding relational structure and neurosymbolic reasoning, by expressing dependencies as weighted compositional rules. However, inducing them from data remains fundamentally hard, bottlenecked by the combinatorial explosion of symbolic search...

Saurabh Mathur, Sahil Sidheekh, Bhavan Kumar Vasu et al. · 0 citations

Preprint Aug 2026

OTel: Building Domain-Specialized Telecom LLM Foundations for Intelligent Networks

Frontier AI models have advanced rapidly, but they still struggle with telecom-specific tasks. We present Open Telco (OTel), an open telecom AI resource with derived datasets for retrieval, reranking, instruction tuning, and safety/abstention, plus 30 full-parameter post-trained baselines across embedding, reranking, a...

Farbod Tavakkoli, Roderic W. Paulk, J. Terrazas et al. · 0 citations