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AI graders fail to distinguish spaces, impacting code evaluations

By PulseAugur Editorial · [1 sources] ·

A coding evaluation issue has been identified where AI models and grading tools struggle to differentiate between standard spaces and non-breaking spaces (U+00A0). This problem was discovered by Driftproof when their own evaluation grader incorrectly assessed code answers. Popular AI models like Claude Haiku 5.5 and Claude Sonnet 5.5, when used as graders in tools such as LangChain's OpenEvals and Promptfoo, also exhibited this blind spot, frequently misinterpreting code that correctly handled the non-breaking space. The proposed solution involves explicitly listing unusual characters and their positions alongside the code to aid the AI graders. AI

IMPACT Highlights a subtle but critical flaw in AI's ability to parse and evaluate code, potentially impacting automated coding assessments.

RANK_REASON The item discusses a flaw in AI grading tools and models, rather than a new model release or core research.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI graders fail to distinguish spaces, impacting code evaluations

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12 / 100
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Tool
The item discusses a flaw in AI grading tools and models, rather than a new model release or core research.
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 (CA) · Driftproofhq ·

    Claude Code's eval grader can't see a no-break space

    <p>Here are two answers to the same coding question. One is right. Which one?</p> <p><strong>The task:</strong> Write a Python function <code>accepts(s: str) -&gt; bool</code>. It must return True exactly when <code>s</code> consists of zero or more ordinary ASCII spaces (U+0020)…

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