Author

Viswanath Ganapathy

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#artificial intelligence Preprint Sep 2026

Support-Set Target Leakage in Relational Foundation Models during In-Context Learning: Model Dependence and Evaluation Reliability

Relational in-context learning (ICL) uses labeled support examples and their linked relational context to predict labels for new queries. This creates a failure mode when target-derived features are present in the support context but unavailable for the query. We study this setting as support-set target leakage. We con...

Roshan Reddy Upendra, Alexandre Dorais, Joe Meyer et al. · 0 citations

Jul 2026

Curriculum Matters: Data-Efficient Relational PFN Pretraining with Synthetic Data

It is suggested that curriculum design and synthetic data diversity may matter more for relational PFN pretraining than the specific relational generator or raw synthetic scale alone.

Mohammad Sadeq Abolhasani, Viswanath Ganapathy · arXiv.org · 0 citations