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Karen Hambardzumyan

mahnerak

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https://mahnerak.com/

AI & ML interests

PhD student @ UCL NLP and FAIR (Meta)

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reacted to gsarti's post with 🚀 about 1 month ago

🔍 Today's (self-serving) pick in Interpretability & Analysis of LMs: A Primer on the Inner Workings of Transformer-based Language Models by @javifer @gsarti @arianna-bis and M. R. Costa-jussà (@mt-upc, @GroNLP, @facebook) This primer can serve as a comprehensive introduction to recent advances in interpretability for Transformer-based LMs for a technical audience, employing a unified notation to introduce network modules and present state-of-the-art interpretability methods. Interpretability methods are presented with detailed formulations and categorized as either localizing the inputs or model components responsible for a particular prediction or decoding information stored in learned representations. Then, various insights on the role of specific model components are summarized alongside recent work using model internals to direct editing and mitigate hallucinations. Finally, the paper provides a detailed picture of the open-source interpretability tools landscape, supporting the need for open-access models to advance interpretability research. 📄 Paper: https://huggingface.co/papers/2405.00208 🔍 All daily picks: https://huggingface.co/collections/gsarti/daily-picks-in-interpretability-and-analysis-ofc-lms-65ae3339949c5675d25de2f9

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upvoted a paper 8 months ago

A Primer on the Inner Workings of Transformer-based Language Models

Paper • 2405.00208 • Published Apr 30, 2024 • 9