3 citations · 5 across the 14 of their papers we have counts for
9 papers · 1 filter
Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector
Youcheng Huang, Fengbin Zhu, Jingkun Tang +4
Visual Language Models (VLMs) are vulnerable to adversarial attacks, especially those from adversarial images, which is however under-explored in literature. To facilitate research…
Dishonesty in Helpful and Harmless Alignment
Youcheng Huang, Jingkun Tang, Duanyu Feng +4
People tell lies when seeking rewards. Large language models (LLMs) are aligned to human values with reinforcement learning where they get rewards if they satisfy human preference.…
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation
Chen Huang, Yiping Jin, Ilija Ilievski +2
Human annotation is a time-consuming task that requires a significant amount of effort. To address this issue, interactive data annotation utilizes an annotation model to provide s…
Co-Matching: Towards Human-Machine Collaborative Legal Case Matching
Chen Huang, Xinwei Yang, Yang Deng +3
Recent efforts have aimed to improve AI machines in legal case matching by integrating legal domain knowledge. However, successful legal case matching requires the tacit knowledge…
Concept -- An Evaluation Protocol on Conversational Recommender Systems with System-centric and User-centric Factors
Chen Huang, Peixin Qin, Yang Deng +3
The conversational recommendation system (CRS) has been criticized regarding its user experience in real-world scenarios, despite recent significant progress achieved in academia.…
Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model
Chen Huang, Yang Deng, Wenqiang Lei +2
To obtain high-quality annotations under limited budget, semi-automatic annotation methods are commonly used, where a portion of the data is annotated by experts and a model is the…
Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem
Chen Huang, Haoyang Li, Yifan Zhang +2
The vanilla Graph Convolutional Network (GCN) uses a low-pass filter to extract low-frequency signals from graph topology, which may lead to the over-smoothing problem when GCN goe…
DREditor: An Time-efficient Approach for Building a Domain-specific Dense Retrieval Model
Chen Huang, Duanyu Feng, Wenqiang Lei +1
Deploying dense retrieval models efficiently is becoming increasingly important across various industries. This is especially true for enterprise search services, where customizing…
See the Unseen: Better Context-Consistent Knowledge-Editing by Noises
Youcheng Huang, Wenqiang Lei, Zheng Zhang +2
Knowledge-editing updates knowledge of large language models (LLMs) and contributes to the interpretability and application of LLMs. However, knowledge applying is context-consiste…