Author

Yoo Shin

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Preprint Oct 2026

Foreword: Pre-Generation Prediction and Characterisation of LLM Test Failures using the Jacobian Lens

Testing LLM-based software is expensive: each input needs several sampled responses, each judged by a costly oracle. Further, every prompt or model change calls for re-testing. Pre-generation adequacy measures cut this cost by ranking inputs by failure risk based on the model's internal state. However, the state of the...

Somin Kim, Robert Feldt, Yoo Shin · 0 citations

#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