Papers
18,290 papers found
Persistent Instability in LLM’s Personality Measurements: Effects of Scale, Reasoning, and Conversation History
Tommaso Tosato, Saskia Helbling, Yorguin-Jose Mantilla-Ramos et al.
CoSPED: Consistent Soft Prompt Targeted Data Extraction and Defense
Zhuochen Yang, Kar Wai Fok, Vrizlynn L. L. Thing
Measuring Model Performance in the Presence of an Intervention
Winston Chen, Michael W. Sjoding, Jenna Wiens
Fragile by Design: On the Limits of Adversarial Defenses in Personalized DreamBooth Generation
Zhen Chen, Yi Zhang, Xiangyu Yin et al.
ALERT: Adversarial Learning Enhanced Stability-aware Routing Transformer for Adaptive Depression Detection
Liangyi Kang, Wei Hua, Yan Yang et al.
TRACE: Textual Relevance Augmentation and Contextual Encoding for Multimodal Hate Detection
Girish A. Koushik, Helen Treharne, Aditya Joshi et al.
Evaluating LLMs for Police Decision-Making: A Framework Based on Police Action Scenarios
Sangyub Lee, Heedou Kim, Hyeoncheol Kim
HypoxSpike: Ternary Spiking Neural Network for Opioid Overdose Detection
Anush Lingamoorthy, Abhishek Kumar Mishra, Olumuyiwa Oni et al.
MINGLE: VLMs for Semantically Complex Region Detection in Urban Scenes
Liu Liu, Alexandra Schild, Marco Cipriano et al.
Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection
Xin Liu, Yuanhang Yu, Peng Zhu et al.
Visual-Friendly Concept Protection via Selective Adversarial Perturbations
Xiaoyue Mi, Fan Tang, You Wu et al.
Multi-Agent VLMs Guided Self-Training with PNU Loss for Low-Resource Offensive Content Detection
Han Wang, Deyi Ji, Junyu Lu et al.
ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care
Zonghai Yao, Talha Chafekar, Junda Wang et al.
LUDO: Low-Latency Understanding of Deformable Objects Using Point Cloud Occupancy Functions (Abstract Reprint)
Pit Henrich, Franziska Mathis-Ullrich, Paul Maria Scheikl
Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection (Abstract Reprint)
Zhong Li, Yuhang Wang, Matthijs van Leeuwen
Prediction of Hospital Associated Infections During Continuous Hospital Stays
Rituparna Datta, Methun Kamruzzaman, Eili Y. Klein et al.
Interpretable Machine Learning for In-Home Mild Cognitive Impairment Detection
Budhitama Subagdja, Shanthoshigaa D, Ah-Hwee Tan et al.
Explanations for Sequential Decision-Making – an Overview
Hendrik Baier, Mark T. Keane, Sarath Sreedharan et al.
Next Generation of Empirical Performance Prediction
Hadar Shavit
LaFINet: Laplacian-Based Frequency Injection Network for Camouflage Object Detection (Student Abstract)
Aravinthakshan A S, Aditya Prashant Naidu, Aadiv Rath
Object-Centric Data Synthesis for Category-level Object Detection (Student Abstract)
Vikhyat Agarwal, Jiayi Cora Guo, Declan Hoban et al.
Adaptive Coreset Selection via Uncertainty-Density for Efficient Spam Detection (Student Abstract)
Aisha Hassan, Tushar Shinde
Detecting Citation Hallucinations in Large Language Model Outputs (Student Abstract)
Nipun Misra, Vikranth Udandarao