Papers
Can LLMs Identify Tax Abuse?
Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme
On the Feasibility of Using MultiModal LLMs to Execute AR Social Engineering Attacks
Ting Bi, Chenghang Ye, Zheyu Yang et al.
Self-Regulating Cars: Automating Traffic Control in Free Flow Road Networks
Ankit Bhardwaj, Rohail Asim, Sachin Kumar Chauhan et al.
Mapping on a Budget: Optimizing Spatial Data Collection for ML
Livia Betti, Farooq Sanni, Gnouyaro Z. Sogoyou et al.
An External Fairness Evaluation of LinkedIn Talent Search
Tina Behzad, Siddartha Devic, Vatsal Sharan et al.
Bootstrapping Personalized Insulin Therapy via Model-Based Reinforcement Learning: An In Silico Study
Sumana Basu, Flemming Kondrup, Adriana Romero-Soriano et al.
Harnessing Diffusion-Generated Synthetic Images for Fair Image Classification
Abhipsa Basu, Aviral Gupta, Abhijnya Bhat et al.
Urban Incident Prediction with Graph Neural Networks: Integrating Government Ratings and Crowdsourced Reports
Sidhika Balachandar, Shuvom Sadhuka, Bonnie Berger et al.
Bi-Level Contextual Bandits for Individualized Resource Allocation Under Delayed Feedback
Mohammadsina Almasi, Hadis Anahideh
Not All Tokens Are Meant to Be Forgotten
Xiangyu Zhou, Yao Qiang, Saleh Zare Zade et al.
Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models
Tianyi Zhou, Johanne Medina, Sanjay Chawla
Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation
Junwen Zheng, Xinran Xu, Li Rong Wang et al.
GEM: Generative Entropy-Guided Preference Modeling for Few-Shot Alignment of LLMs
Yiyang Zhao, Huiyu Bai, Xuejiao Zhao
Value-Aligned Prompt Moderation via Zero-Shot Agentic Rewriting for Safe Image Generation
Xin Zhao, Xiaojun Chen, Bingshan Liu et al.
CultureRL: Internalizing Cultural Principles in Large Language Models via Norm-Driven Reinforcement Learning
Weixiang Zhao, Haozhen Li, Yanyan Zhao et al.
DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety Prompt
Yitong Zhang, Jia Li, Liyi Cai et al.
Differentiated Directional Intervention: A Framework for Evading LLM Safety Alignment
Peng Zhang, Peijie Sun
SL-CBM: Enhancing Concept Bottleneck Models with Semantic Locality for Better Interpretability
Hanwei Zhang, Luo Cheng, Rui Wen et al.
Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems
Qingyuan Zeng, Shu Jiang, Jiajing Lin et al.
CoSPED: Consistent Soft Prompt Targeted Data Extraction and Defense
Zhuochen Yang, Kar Wai Fok, Vrizlynn L. L. Thing
Multi-Faceted Attack: Exposing Cross-Model Vulnerabilities in Defense-Equipped Vision-Language Models
Yijun Yang, Lichao Wang, Jianping Zhang et al.
When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF
Yifan Xu, Xichen Ye, Yifan Chen et al.
MedAtlas: Evaluating LLMs for Multi-Round, Multi-Task Medical Reasoning Across Diverse Imaging Modalities and Clinical Text
Ronghao Xu, Zhen Huang, Yangbo Wei et al.
MCA-Bench: A Multimodal Benchmark for Evaluating CAPTCHA Robustness Against VLM-based Attacks
Zonglin Wu, Yule Xue, Yaoyao Feng et al.