Entity · model

Qwen3.6-Plus

modelactiveqwen3-6-plus-708ce553·1 events·first seen Jun 10, 2026

Aliases: Qwen3.6-Plus

Co-occurring entities

DeepSeek V4 Mistral Large 2 GPT-4o The Shibboleth Effect: Auditing the Cross-Lingual Distributional Skew of Large Language Models Google DeepMind Llama OpenAI Gemini-3.1-Pro Meta

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Qwen3.7-Plus Qwen3.5-Plus Qwen3.7-Plus-Preview Qwen2.5-3B Qwen 3.7 Max Qwen 3.5 Qwen3.5 Small Qwen3.5-Flash Qwen 3.7 Qwen3.6 Max Preview Qwen3.5-2B-Base Qwen32

Recent events (1)

6arXiv · cs.CL·Jun 10, 2026·source ↗

The Shibboleth Effect: Cross-lingual behavioral skew in frontier LLMs under adversarial geopolitical simulation

Researchers introduce the 'Shibboleth Effect' — systematic behavioral differences in LLMs when operating in different languages — and audit six frontier models (GPT-4o, Llama-4, Mistral-Large, Gemini-3.1-Pro, Qwen3.6-Plus, DeepSeek-R1) using a synthetic maritime territorial dispute wargame played in English versus Turkish. Results are heterogeneous: Llama-4 becomes significantly more coercive in Turkish while Gemini-3.1-Pro and DeepSeek-R1 become less so, and GPT-4o shows no detectable shift. The study identifies two candidate buffering mechanisms — chain-of-thought institutional anchoring and multilingual RLHF alignment — with direct implications for deploying LLMs in diplomatic or crisis-management contexts.

Evaluation and Benchmarking AI Safety Research DeepSeek V4 Mistral Large 2 GPT-4o +8 more