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Showing papers from NAVER AI Lab Show all papers

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FOAM: Factored One-sided Adam-Moment for Practical and Scalable SOAP

Jaemyung Yu, Byeongho Heo, Sangdoo Yun, Dongyoon Han

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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0/20 AI panelreviewers recommend it

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
91%Must read
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Mark, Don't Erase: Token Inoculation for Dual-Use Knowledge in LLMs

Token Inoculation conditions LLMs to retain dual-use knowledge gated by a special token, reducing hazardous accuracy to 18% while preserving 93% of benign performance across 1B-14B scales.

Seung-Hyun Lee, Dongyoon Han, Sangdoo Yun

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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18/20 AI panelreviewers recommend it

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 3/5
80%Must read
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Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction

Fast KVzip uses lightweight sink-attention gates to evict up to 70% of KV caches with negligible overhead, maintaining near-lossless LLM performance across long-context, code, and math tasks via forward-only, task-agnostic training.

Jang-Hyun Kim, Dongyoon Han, Sangdoo Yun

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 8 on Hugging Face · Code ★ 31

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5