Shubham Gaur
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126
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ML×1NLP×1
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2026
MAAT: Multi-phase Adapter-Aware Targeted Unlearning
The paper introduces 5WBENCH, a new benchmark for causal unlearning, and proposes MAAT, a novel three-phase framework that achieves high forgetting and high retention specifically on complex 'Why'-type causal knowledge.
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Papers
cs.LGcs.CLRecentMay 28, 2026
MAAT: Multi-phase Adapter-Aware Targeted Unlearning
Suryash Yagnik, Shubham Gaur, Saksham Thakur, Vinija Jain +2 more
The paper introduces 5WBENCH, a new benchmark for causal unlearning, and proposes MAAT, a novel three-phase framework that achieves high forgetting and high retention specifically on complex 'Why'-typ…
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