Cover Image

SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Formento, Brian, Feng, Wenjie, Foo, Chuan Sheng, Tuan, Luu Anh, Ng, See-Kiong
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Confidence Elicitation: A New Attack Vector for Large Language Models
by: Formento, Brian, et al.
Published: (2025)

Mercury: A Code Efficiency Benchmark for Code Large Language Models
by: Du, Mingzhe, et al.
Published: (2024)

Vision-and-Language Pretraining
by: Nguyen, Thong, et al.
Published: (2022)

DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding
by: Nguyen, Thong, et al.
Published: (2023)

Topic Modeling as Multi-Objective Contrastive Optimization
by: Nguyen, Thong, et al.
Published: (2024)

Temporal-Oriented Recipe for Transferring Large Vision-Language Model to Video Understanding
by: Nguyen, Thong, et al.
Published: (2025)

Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation
by: Nguyen, Thong Thanh, et al.
Published: (2024)

Encoding and Controlling Global Semantics for Long-form Video Question Answering
by: Nguyen, Thong Thanh, et al.
Published: (2024)

Paper Espresso: From Paper Overload to Research Insight
by: Du, Mingzhe, et al.
Published: (2026)

MAMA: Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
by: Nguyen, Thong, et al.
Published: (2024)

Guiding VLM Agents with Process Rewards at Inference Time for GUI Navigation
by: Hu, Zhiyuan, et al.
Published: (2025)

Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives
by: Nguyen, Thong, et al.
Published: (2024)

Multi-Scale Contrastive Learning for Video Temporal Grounding
by: Nguyen, Thong Thanh, et al.
Published: (2024)

Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory
by: Wang, Naibo, et al.
Published: (2024)

LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training
by: Le, Khoi M., et al.
Published: (2024)

Source Attribution for Large Language Model-Generated Data
by: Wang, Jingtan, et al.
Published: (2023)

READ: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
by: Nguyen, Thong, et al.
Published: (2023)

CodeArena: A Collective Evaluation Platform for LLM Code Generation
by: Du, Mingzhe, et al.
Published: (2025)

When In-Distribution Gains Fail: Evaluating Weak-to-Strong Reward Models under Preference Shift
by: Le, Khoi, et al.
Published: (2026)

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models
by: Hu, Zhiyuan, et al.
Published: (2024)

Principled Multimodal Representation Learning
by: Liu, Xiaohao, et al.
Published: (2025)

Image Can Bring Your Memory Back: A Novel Multi-Modal Guided Attack against Image Generation Model Unlearning
by: Liu, Renyang, et al.
Published: (2025)

Rethinking Machine Unlearning in Image Generation Models
by: Liu, Renyang, et al.
Published: (2025)

One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity
by: Wang, Naibo, et al.
Published: (2024)

Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment
by: Wu, Shunyu, et al.
Published: (2025)

SemCORE: A Semantic-Enhanced Generative Cross-Modal Retrieval Framework with MLLMs
by: Li, Haoxuan, et al.
Published: (2025)

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
by: Lin, Xinyu, et al.
Published: (2023)

A Federated Framework for LLM-based Recommendation
by: Zhao, Jujia, et al.
Published: (2024)

Tracking the Truth: Object-Centric Spatio-Temporal Monitoring for Video Large Language Models
by: Cao, Tri, et al.
Published: (2026)

Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs
by: Hu, Zhiyuan, et al.
Published: (2026)

Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet
by: Zhao, James Xu, et al.
Published: (2025)

Inference-Time Attribute Distribution Alignment for Unconditional Diffusion
by: Luan, Hao, et al.
Published: (2026)

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs
by: Luan, Hao, et al.
Published: (2025)

Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-Training
by: Zhang, Wenyu, et al.
Published: (2024)

LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models
by: Hu, Zhiyuan, et al.
Published: (2024)

Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities
by: Goodge, Adam, et al.
Published: (2025)

Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion
by: Wu, Xiaobao, et al.
Published: (2024)

STAR: Semantic-Tuned and Tail-Adaptive Retriever for Graph-Augmented Generation
by: Li, Shuai, et al.
Published: (2026)

Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
by: Zhao, Shuai, et al.
Published: (2023)

LETGAMES: An LLM-Powered Gamified Approach to Cognitive Training for Patients with Cognitive Impairment
by: Shi, Jingwei, et al.
Published: (2026)