Author

Dongwon Lee

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Preprint Aug 2026

BLADE: Bilevel Low-rank Augmented-Lagrangian Erasure for LLM Unlearning

Existing LLM unlearning methods struggle with robustness: unbounded forget losses degrade model coherence, fixed-weight balancing cannot adapt as retain difficulty shifts mid-training, and methods that work on one benchmark falter under scaling or repeated application. We propose BLADE, a constrained bilevel framework...

Md Toufikuzzaman, Ahmad Mousavi, Dongwon Lee · 0 citations

#artificial intelligence Preprint Sep 2026

Fair Fact-Checking: Closing the Cross-Lingual Gap in LLM Factual Judgement with RoSh

Misinformation on social media remains a critical problem, and more and more people settle it by asking a language model instead of a fact checker. Whether models judge such claims reliably is debated; whether they judge them equally well in every language people ask in has gone almost unasked. We test eight models fro...

Muhammad Ahmad, Fatemeh Seyedin, Adrian Weller et al. · 0 citations