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Adam Zweiger is an undergrad at MIT who has done research on data-efficient adaptation and long-context methods for language models and worked on RL for coding models.
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MIT paper shows LLMs can learn and fine-tune itself without human input
arXivresearchpositiveOct 14, 2025
MIT researchers introduced SEAL (Self-Adapting Language Models), a framework enabling LLMs to autonomously generate their own fine-tuning data and adapt their weights without human intervention through self-edits and reinforcement learning.
“Co-author of the paper on Self-Adapting Language Models”
LLMsAI ResearchFoundation ModelsReinforcement Learning