A user tested several large language models for translation tasks, finding that Gemma 4 consistently outperformed specialized translation models and even itself when using structured JSON decoding. The user also observed that Qwen3.8, despite being a more powerful model, failed to adhere to translation instructions when they were embedded within the text to be translated, instead attempting to solve the programming problem presented. The experiments indicated that structured decoding methods, while intended to improve output, often led to increased errors and unparseable responses. AI
IMPACT Highlights potential issues with instruction following and structured decoding in current LLMs, impacting their reliability for specialized tasks.
RANK_REASON User-conducted benchmark comparing LLM performance on translation tasks. [lever_c_demoted from research: ic=1 ai=1.0]
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