Reasoning Robustness of LLMs to Adversarial Typographical Errors — mentioned by natrys

Wed, 17 Sep 2025 22:57:27 GMT

If you mean the bit about refusal from other models, then sure here is another run with same result: https://i.postimg.cc/6tT3m5mL/screen.png Note I am using direct API to avoid triggering separate guardrail models typically operating in front of website front-ends. As an aside the website you used in your original comment: > [2] Used this link https://www.deepseekv3.net/en/chat This is not the official DeepSeek website. Probably one of the many shady third-party sites riding on DeepSeek name for SEO, who knows what they are running. In this case it doesn't matter, because I already…

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Reasoning Robustness of LLMs to Adversarial Typographical Errors · HackerPapers discussions

Reasoning Robustness of LLMs to Adversarial Typographical Errors — mentioned by natrys