Verbalized grader awareness (Anthropic)
Models work on tasks where grading is disclosed clearly, ambiguously or barely. An autorater flags transcripts that reason about the grader.
Reported separately for three disclosure levels with no overall rate.
- Made by
- Anthropic
- Released
- April 2026
- Kind
- Deception and alignment
- Level
- Expert
- Scored
- Graded by a model
- Answers
- Agent task
- Tasks
- Kept private
- Last in a system card
- October 2026
- Last model added
- October 2026
3
System cards report it, from 1 lab
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for Verbalized grader awareness (Anthropic) yet.
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
3 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Oct 7, 2026 | Claude Haiku 5.5 system card | Verbalized grader awareness by disclosure level: clearly 88.3 (166/188), ambiguously 53.7 (80/149), barely 4.3 (7/161), no overall (Figure 6.4.1.A) | Monitorability | |
| Sep 28, 2026 | Claude Sonnet 5.5 system card | Verbalized grader awareness, no overall: clearly disclosed 231/275, ambiguously disclosed 364/461, barely or not disclosed 19/163 (6.4.1, Figure 6.4.1.A) | Monitorability | |
| Sep 22, 2026 | Claude Opus 5.5 system card | Verbalized grader awareness by disclosure level, no overall: clearly disclosed 84.0% (273/325), ambiguously disclosed 73.1% (380/520), barely or not disclosed 4.5% (7/155) (6.6.2, Figure 6.6.2.A) | Monitorability |
More in Safety and alignment
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- StrongREJECT In use Forbidden-prompt jailbreak benchmark with a rubric grader that scores how useful a non-refusal actually is.
Inkling 98.6% - Gray Swan IPI Arena benchmark In use Indirect prompt-injection attacks from public red-teaming competitions replayed on tool, coding and browser agents. Attack success rate at k attempts.
Gemini 4 Carbon 0% - DistressBench In use Models reply as a chatbot to 718 simulated users in psychological crisis, in single-turn and multi-turn chats. Three judge models score replies against clinician-written rubrics.
Muse Spark 1.2 88.4% - Lakera B3 (Backbone Breaker Benchmark) In use Crowdsourced prompt-injection attacks hit backbone LLMs inside agent threat snapshots at three defense levels. The score is attack resistance, 100 minus the board's vulnerability percentage. Claude Opus 4.5 89%
- IHEval In use Models face conflicts between system, user and tool instructions. Reports a composite score for following the higher-priority instruction. GPT-4o 70%