Meghdad Kurmanji
4 papers · 2023–2026 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot ยท Bronze
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Interdisciplinary Bridge ยท Bronze
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Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Keywords
machine unlearning
(2)
knowledge editing
(1)
model unlearning
(1)
model editing
(1)
right to be forgotten
(1)
selective forgetting
(1)
membership inference attack
(1)
data deletion
(1)
multilingual training
(1)
language model pretraining
(1)
large language model
(1)
neural network
(1)
memory control
(1)
federated learning
(1)
decoupled embedding
(1)
Papers
Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning?
AAAI 2026
DEPT: Decoupled Embeddings for Pre-training Language Models
ICLR 2025
What makes unlearning hard and what to do about it
NeurIPS 2024
Towards Unbounded Machine Unlearning
NeurIPS 2023