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The First Workshop on Large Language Model Memorization (L2M2) @l2m2workshop.bsky.social · 16/05/2025

📢 @aclmeeting.bsky.social notifications have been sent out, making this the perfect time to finalize your commitment. Don't miss the opportunity to be part of the L2M2 workshop! 🔗 Commit here: openreview.net/group?id=acl... 🗓️ Deadline: May 20, 2025 (AoE) #ACL2025 #NLProc

openreview.net

ACL 2025 Workshop L2M2 ARR Commitment

Welcome to the OpenReview homepage for ACL 2025 Workshop L2M2 ARR Commitment

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The First Workshop on Large Language Model Memorization (L2M2) @l2m2workshop.bsky.social · 27/01/2025

More details on our website: sites.google.com/view/memoriz... 📩 Got questions? Reach out to us at l2m2-workshop@googlegroups.com

sites.google.com

L2M2

News

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The First Workshop on Large Language Model Memorization (L2M2) @l2m2workshop.bsky.social · 27/01/2025

📝 Key Deadlines: - ARR submission: Feb 15, 2025 - Direct submission: Mar 25, 2025 - ARR commitment: Apr 17, 2025 - Notification: Apr 27, 2025 - Camera-ready: May 16, 2025

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The First Workshop on Large Language Model Memorization (L2M2) @l2m2workshop.bsky.social · 27/01/2025

📚 Submission Types: 1️⃣ Archival: Original, anonymized work reviewed double-blind and included in proceedings 2️⃣ Non-archival: - Published work (non-anonymous, noted venue) - Work-in-progress (anonymized, double-blind review) Submit via OpenReview or ACL Rolling Review

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The First Workshop on Large Language Model Memorization (L2M2) @l2m2workshop.bsky.social · 27/01/2025

📄 We’re calling for paper submissions! Topics include: - How/what training data are memorized - Privacy/security risks & legal implications - Measuring & preventing memorization - Model editing (e.g., machine unlearning) - Memorization vs generalization And much more!

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The First Workshop on Large Language Model Memorization (L2M2) @l2m2workshop.bsky.social · 27/01/2025

📢 The First Workshop on Large Language Model Memorization (L2M2) will be co-located with @aclmeeting.bsky.social in Vienna 🎉 💡 L2M2 brings together researchers to explore memorization from multiple angles. Whether it's text-only LLMs or Vision-language models, we want to hear from you! 🌍

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