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Claude Haiku compresses vague intensity words into limited numerical outputs

A new research paper investigates how large language models interpret vague intensity words when tasked with producing numerical actions. The study found that Claude Haiku, when given instructions involving words like "slightly" or "drastically," compressed ten distinct intensity words into only five median numerical outputs. Furthermore, the model's interpretation of these words was heavily dependent on the current system state, with lexical distinctions disappearing as the system approached its capacity. AI

IMPACT Reveals limitations in LLM's nuanced understanding of language, impacting their reliability in tasks requiring precise interpretation of intensity.

RANK_REASON Academic paper analyzing LLM behavior on a specific linguistic task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Daniel Tabach (Georgia Institute of Technology) ·

    Does Slightly Mean Somewhat? Measuring Vague Intensity Words in LLM Numeric Actions

    arXiv:2605.21827v1 Announce Type: new Abstract: Do language models preserve the ordinal meaning of intensity words when those words must produce numeric actions? I study a researcher-constructed scale of 10 English degree modifiers, from slightly to drastically, informed by the Q…