4 papers
Dual-Pathway Circuits of Object Hallucination in Vision-Language Models
Jiaxin Liu, Ding Zhong, Yue Wang +6
Vision-language models (VLMs) have demonstrated remarkable capabilities in bridging visual perception and natural language understanding, enabling a wide range of multimodal reason…
Why is "Chicago" Predictive of Deceptive Reviews? Using LLMs to Discover Language Phenomena from Lexical Cues
Jiaming Qu, Mengtian Guo, Yue Wang
Deceptive reviews mislead consumers, harm businesses, and undermine trust in online marketplaces. Machine learning classifiers can learn from large amounts of data to distinguish d…
Rethinking LLMOps for Fraud and AML: Building a Compliance-Grade LLM Serving Stack
Prathamesh Vasudeo Naik, Naresh Dintakurthi, Yue Wang
Fraud detection and anti-money-laundering (AML) compliance are high-value domains for large language models (LLMs), but their serving requirements differ sharply from generic chat…
Who Leads? Comparing Human-Centric and Model-Centric Strategies for Defining ML Target Variables
Mengtian Guo, David Gotz, Yue Wang
Predictive modeling has the potential to enhance human decision-making. However, many predictive models fail in practice due to problematic problem formulation in cases where the p…