Poster · Sydney

Estimating and Orthogonalizing Unknown Pre-training Gradients for Continual Fine-tuning of Large Language Models

Name: Estimating and Orthogonalizing Unknown Pre-training Gradients for Continual Fine-tuning of Large Language Models
Start: 2026-12-08T17:00:00+11:00
End: 2026-12-08T20:00:00+11:00
Location: Hall 1-4, ICC Sydney

When: Tue 8 Dec 2026, 17:00–20:00 AEDT
Where: Hall 1-4, ICC Sydney
Exhibition Centre, Level 1
Session: Sydney Poster Session 2
Authors: Bing Wang, Changchun Li, Xin-Qiang Cai, Lin Y Wu, Ximing Li, Gang Niu, Masashi Sugiyama
Organisations: Jilin University, Riken-Aip, University of Warwick, RIKEN, University of Tokyo
QRS classification: Language models, Representation and transfer learning

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