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Gemini shows higher AI-gold-standard disagreements than ChatGPT

A comparison of Gemini and ChatGPT revealed that Gemini exhibited a higher rate of AI-gold-standard disagreements with human evaluators (66.67%) compared to ChatGPT (39.13%). These discrepancies highlight deficiencies in how large language models evaluate incorrectly assigned descriptors, which could impede their use in practical library applications. AI

IMPACT Highlights potential issues with LLM evaluation capabilities, suggesting caution for their adoption in specialized fields like library science.

RANK_REASON The item is a user's opinion/observation about model performance, not a primary release or research paper.

Read on Mastodon — mastodon.social →

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

Gemini shows higher AI-gold-standard disagreements than ChatGPT

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The item is a user's opinion/observation about model performance, not a primary release or research paper.
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    ... that AI–gold-standard disagreements that coincided with disagreements between the human evaluators were more frequent for Gemini (66.67%) than for ChatGPT (

    ... that AI–gold-standard disagreements that coincided with disagreements between the human evaluators were more frequent for Gemini (66.67%) than for ChatGPT (39.13%). The LLMs suffer from deficiencies evaluating incorrectly assigned descriptors, which hinders their adoption in …