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Hoang-Son Nguyen

ACL 2026×2ICML 2026×2对齐与偏好理论与学习动力学效率与系统检索与知识可解释性
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0 一作 · 4 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

4
作者位次 #2/4ICML 2026Poster· Theory / Domain Adaptation and Transfer Learning

Content-Style Identification via Differential Independence

Subash Timilsina · Hoang-Son Nguyen · Sagar Shrestha · Xiao Fu

理论与学习动力学OpenReview
作者位次 #3/4ICML 2026Poster· Theory / Domain Adaptation and Transfer Learning

Domain Transfer Becomes Identifiable via a Single Alignment

Sagar Shrestha · Subash Timilsina · Hoang-Son Nguyen · Xiao Fu

对齐与偏好理论与学习动力学OpenReview
作者位次 #2/7ACL 2026Poster· Natural Language Processing

TALAS : Teacher-Anchored Layer Alignment with Adaptive Sharpness-Aware Minimization for Embedding Distillation

Quoc Phong Dao · Hoang-Son Nguyen · Pham Khanh Chi · Linh Ngo Van · Nguyen Thi Ngoc Diep · Thien Huu Nguyen · Trung Le

摘要

Knowledge Distillation (KD) has established itself as a pivotal technique for compressing large pre-trained language models. However, existing methods that force a student to strictly mimic the teacher’s sentence embeddings or internal features often incur prohibitive computational costs and yiel...

效率与系统检索与知识对齐与偏好OpenReview 项目页
作者位次 #2/7ACL 2026Poster· Natural Language Processing

SRA : Span Representation Alignment for Large Language Model Distillation

Quoc Phong Dao · Hoang-Son Nguyen · Pham Khanh Chi · Tung Nguyen · Linh Ngo Van · Nguyen Thi Ngoc Diep · Trung Le

摘要

Cross-Tokenizer Knowledge Distillation (CTKD) enables knowledge transfer between a large language model and a smaller student, even when they employ different tokenizers. While existing approaches mainly focus on token-level alignment strategies, which are often brittle and sensitive to discrepan...

对齐与偏好可解释性强化学习与后训练OpenReview 项目页

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