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Jason Benn

2 accepted papers

2026

Breaking Barriers: Do Reinforcement Fine-tuning Gains Transfer To Unseen Domains?

ICLR 2026poster

Reinforcement post training (RPT) has recently shown promise in improving the reasoning abilities of large language models (LLMs). However, it remains unclear how well these improvements generalize to new domains, as prior work evaluates RPT models on data from the same domains used for fine-tuning.…

Cited by 0SourceScholar
2025

CVE-Bench: A Benchmark for AI Agents’ Ability to Exploit Real-World Web Application Vulnerabilities

ICML 2025spotlight

Large language model (LLM) agents are increasingly capable of autonomously conducting cyberattacks, posing significant threats to existing applications. This growing risk highlights the urgent need for a real-world benchmark to evaluate the ability of LLM agents to exploit web application vulnerabil…