1 citations · 1 across the 5 of their papers we have counts for
5 papers
Beyond Surface Imitation: Contrastive Modeling for Reasoning Path Alignment in Multimodal In-Context Learning
Mingbo Yang, Wenqiang Wang, Zhaolu Kang +4
In-context learning (ICL) is widely used in multimodal large language models (MLLMs) and achieves strong performance across a wide range of multimodal tasks. However, existing mult…
CAMAL: Improving Attention Alignment and Faithfulness with Segmentation Masks
Rajdeep Singh Hundal, Yan Xiao, Jin Song Dong +1
Many vision datasets now provide segmentation masks in addition to annotated images to support a wide range of tasks. In this work, we propose Class Activation Map Attention Learni…
Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries
Wenqiang Wang, Yan Xiao, Hao Lin +2
Current multi-task adversarial text attacks rely on abundant access to shared internal features and numerous queries, often limited to a single task type. As a result, these attack…
On the Mistaken Assumption of Interchangeable Deep Reinforcement Learning Implementations
Rajdeep Singh Hundal, Yan Xiao, Xiaochun Cao +2
Deep Reinforcement Learning (DRL) is a paradigm of artificial intelligence where an agent uses a neural network to learn which actions to take in a given environment. DRL has recen…
Empirical Study on Transformer-based Techniques for Software Engineering
Yan Xiao, Xinyue Zuo, Lei Xue +3
Many Transformer-based pre-trained models for code have been developed and applied to code-related tasks. In this paper, we review the existing literature, examine the suitability…