arXiv (All)
open access
Style Over Substance: Content-Invariant Wrappers Flip LLM Safety-Judge Verdicts
Automatic safety judges -- systems such as Llama Guard or a GPT-4o grading prompt that decide whether a model's reply is harmful -- produce the numbers behind almost every reported jailbreak success rate, defense evaluation, and safety leaderboard. We ask whether these judges grade what a reply cont
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Who Judges the Judges? A Chinese Safety QA Benchmark for Evaluating LLM Responses and Safety Judges#627602
- 15 U.S.C. § 2054 — Product safety information and research#566352
- Entrapment and Retributive Theory#773917
- Revisiting Mens Rea in Modern Criminal Jurisprudence: Theory, Practice, and Reform#1178229
- Regulating Offense, Nurturing Offense#768138
Record · ID 985608
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive