Author

Yaniv Romano

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#machine learning Preprint Oct 2026

Dynamic Budget Allocation for LLM Evaluation under Hard Resource Constraints

We evaluate large language models (LLMs) in multi-turn interactions through their time-to-event: the number of interaction steps required to produce an event of interest, such as a successful jailbreak or agentic task completion. Under limited compute, interactions may be terminated before the event occurs, so that eve...

Shai Feldman, Yaniv Romano · 0 citations

Preprint Aug 2026

Truncate Bad, Upweight Good: BoN-Style Distillation via Rank-Based Classification

This work proposes TUP: a Truncate-bad, Upweight-good Policy that removes low-ranked completions from the support and reweights only the retained upper tail with a tunable sharpness, and shows that TUP is competitive with strong offline alignment baselines.

Yarin Bar, Yaniv Romano · 0 citations