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Hauptverfasser: Lin, Shuyi, Lu, Tian, Wang, Zikai, Wen, Bo, Zhao, Yibo, Tan, Cheng
Format: Preprint
Veröffentlicht: 2025
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Online-Zugang:https://arxiv.org/abs/2509.23882
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author Lin, Shuyi
Lu, Tian
Wang, Zikai
Wen, Bo
Zhao, Yibo
Tan, Cheng
author_facet Lin, Shuyi
Lu, Tian
Wang, Zikai
Wen, Bo
Zhao, Yibo
Tan, Cheng
contents OpenAI's GPT-OSS family provides open-weight language models with explicit chain-of-thought (CoT) reasoning and a Harmony prompt format. We summarize an extensive security evaluation of GPT-OSS-20B that probes the model's behavior under different adversarial conditions. Using the Jailbreak Oracle (JO) [1], a systematic LLM evaluation tool, the study uncovers several failure modes including quant fever, reasoning blackholes, Schrodinger's compliance, reasoning procedure mirage, and chain-oriented prompting. Experiments demonstrate how these behaviors can be exploited on the GPT-OSS-20B model, leading to severe consequences.
format Preprint
id arxiv_https___arxiv_org_abs_2509_23882
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Quant Fever, Reasoning Blackholes, Schrodinger's Compliance, and More: Probing GPT-OSS-20B
Lin, Shuyi
Lu, Tian
Wang, Zikai
Wen, Bo
Zhao, Yibo
Tan, Cheng
Artificial Intelligence
Cryptography and Security
OpenAI's GPT-OSS family provides open-weight language models with explicit chain-of-thought (CoT) reasoning and a Harmony prompt format. We summarize an extensive security evaluation of GPT-OSS-20B that probes the model's behavior under different adversarial conditions. Using the Jailbreak Oracle (JO) [1], a systematic LLM evaluation tool, the study uncovers several failure modes including quant fever, reasoning blackholes, Schrodinger's compliance, reasoning procedure mirage, and chain-oriented prompting. Experiments demonstrate how these behaviors can be exploited on the GPT-OSS-20B model, leading to severe consequences.
title Quant Fever, Reasoning Blackholes, Schrodinger's Compliance, and More: Probing GPT-OSS-20B
topic Artificial Intelligence
Cryptography and Security
url https://arxiv.org/abs/2509.23882