Author

Florian Tambon

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#artificial intelligence Preprint Sep 2026

Synthetic Semantic Supervision for Contrastive Code Representation Learning in Small Transformers: An Empirical Study

Synthetic semantic supervision yields statistically significant gains over pretraining baselines of the same inference-time size on five of eight tasks, with parity on two more; once fine-tuned, it matches or exceeds zero-shot models two orders of magnitude larger on classification, and it stays on par with execution-a...

K. Paulsen, Florian Tambon, Mike Papadakis et al. · 0 citations

Preprint Jul 2026

On the risk of coding before testing: An empirical study on LLM-based test generation workflow

This paper introduces and empirically study the phenomenon of error propagation, where faults in generated code are systematically replicated in associated test artifacts, and examines whether LLM-generated code biases the generation of subsequent tests.

Michael Konstantinou, Florian Tambon, Mike Papadakis · 1 citation