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Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning
Recently, various parameter-efficient fine-tuning (PEFT) strategies for application to language models have been proposed and …
Shuai Zhao
,
Leilei Gan
,
Luu Anh Tuan
,
Jie Fu
,
Lingjuan Lyu
,
Meihuizi Jia
,
Jinming Wen
KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning
Standard extractive systems suffer from the lack of gold training signals since existing corpora solely provide document and …
Thang Le
,
Luu Anh Tuan
KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning
Previous work on multimodal sentence embedding has proposed multimodal contrastive learning and achieved promising results. However, by …
Cong-Duy Nguyen
,
Thong Nguyen
,
Xiaobao Wu
,
Luu Anh Tuan
SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks
Language models (LMs) are indispensable tools for natural language processing tasks, but their vulnerability to adversarial attacks …
Brian Formento
,
Wenjie Feng
,
Chuan Sheng Foo
,
Luu Anh Tuan
,
See-Kiong Ng
ToXCL: A Unified Framework for Toxic Speech Detection and Explanation
The proliferation of online toxic speech is a pertinent problem posing threats to demographic groups. While explicit toxic speech …
Nhat Hoang
,
Xuan Long Do
,
Duc Anh Do
,
Duc Anh Vu
,
Luu Anh Tuan
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