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LLM negotiation behavior varies significantly by language, study finds

A new study published on arXiv investigated how language affects AI negotiation behavior, finding that identical prompts can yield different outcomes depending on the language used. Researchers tested Gemini 3.6 Flash and Qwen3.7 Flash models in both English and Korean across various negotiation scenarios. The results indicated that Korean negotiations were significantly more successful, with higher agreement rates and larger seller concessions compared to English, suggesting that language influences not just the wording but the actual simulated negotiation dynamics. AI

IMPACT Highlights the need for careful cross-lingual prompt engineering to ensure consistent AI behavior across different languages.

RANK_REASON Research paper published on arXiv detailing LLM behavior. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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

LLM negotiation behavior varies significantly by language, study finds

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Research paper published on arXiv detailing LLM behavior. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Saehee Eom, Tejas Khandwekar ·

    Cross-Lingual Persona Effects in LLM Negotiation

    arXiv:2611.00300v1 Announce Type: new Abstract: Tell an LLM negotiator to be "headstrong" and it should hold firm on price, but does that instruction retain the same behavior in every language? To test this, we use identical buyer and seller instances of Gemini 3.6 Flash to negot…