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Shubham Gupta

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#artificial intelligence Preprint Sep 2026

SNIP++: Fine-Grained Symbolic-Numerical Alignment for Symbolic Regression

A compositional alignment method is introduced that closes much of the modality gap between symbolic and numerical embeddings, reliably distinguish the effects of local edits that the original alignment cannot, and transfer to external SR corpora.

Benjamin Léger, Shubham Gupta, S. Mammeri et al. · 0 citations
Preprint Jul 2026

PiSAs: Benchmarking Contextual Integrity in Multi-User Agentic Systems

PiSAs (Privacy in Shared Agentic systems), a benchmark for assessing unintentional leaks with dual CI annotations, enables direct measurement of cross-user spillage across agentic system components and interfaces, such as outputs, inter-agent communication, and memory.

Shubham Gupta, N. Sepahvand, Abhinav Kumar et al. · 0 citations

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