Author

Johan Obando-Ceron

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Preprint Oct 2026

On the Limits of Test-Time Compute for Self-Evaluation

Self-verification and aggregation have emerged as popular approaches for bridging the gap between pass@1 and pass@N. However, increasing the number of candidates does not consistently narrow the gap between final-answer accuracy and pass@N. To understand this limitation, we use ranking error to measure how reliably mod...

A. Buvanesh, Khaled Rouissi, Su-Jin Yun et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Towards Continual Learning: Mitigating Forgetting With Subspace Tuning

Large language models (LLMs) acquire new skills through fine-tuning, but it can destroy capabilities they already have: catastrophic forgetting remains a central obstacle to continual learning in LLMs. Recent works connect forgetting to how far, and along which directions, fine-tuning moves the weights. On-policy metho...

Arnav Chavan, Kusha Sareen, Rishabh Tiwari et al. · 0 citations