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Copyright

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arXiv — NLP / Computation & Language research 15h ago

Robust LLM Unlearning Against Relearning Attacks: The Minor Components in Representations Matter

arXiv:2605.11685v1 Announce Type: new Abstract: Large language model (LLM) unlearning aims to remove specific data influences from pre-trained model without costly retraining, addressing privacy, copyright, and safety concerns. However, recent studies reveal a critical…

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Vercel — AI dev-tools 1mo ago

Team-wide Zero Data Retention and prompt training controls now on AI Gateway

AI Gateway now supports Zero Data Retention (ZDR) at the team level, removing the need to configure opt-outs or reach agreements with each provider individually. It routes requests only to providers where ZDR agreements are in place, with support for Anthropic, OpenAI, Google,…

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Smol AI News news-outlet 4mo ago

not much happened today

**Stanford paper** reveals **Claude 3.7 Sonnet** memorized **95.8% of Harry Potter 1**, highlighting copyright extraction risks compared to **GPT-4.1**. **Google AI Studio** sponsors **TailwindCSS** amid OSS funding debates. **Google** and **Sundar Pichai** launch **Gmail Gemini…

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Eugene Yan research 25mo ago

Task-Specific LLM Evals that Do & Don't Work

Evals for classification, summarization, translation, copyright regurgitation, and toxicity.

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