15 citations · 19 across the 8 of their papers we have counts for
9 papers
Conditional Accuracy Profiles: Diagnosing LLM Judges across Deployment Conditions
Wenqi Li, Bin Liu, Mindi Ruan +3
LLM-as-judge is now a standard tool for scalable evaluation, but judge performance is still often summarized by a single accuracy number. This aggregate view hides the deployment c…
MindCopilot: Towards Formalizing and Evaluating Granular Human-LLM Co-Writing
Youqing Fang, Yinhao Tang, Yanan Sun +8
Recent writing assistants are increasingly shifting from passive, prompt-driven interaction to proactive, suggestion-based completion, which integrates localized continuations into…
A Proactive Multi-Agent Dialogue Framework for Assessing Social Language Disorder Traits in Autism
Chuanbo Hu, Minglei Yin, Bin Liu +4
Characteristic linguistic behaviors associated with Social Language Disorder (SLD) in autism spectrum disorder, including echoic repetition, pronoun displacement, and stereotyped m…
Correct and Weight: A Simple Yet Effective Loss for Implicit Feedback Recommendation
Minglei Yin, Chuanbo Hu, Bin Liu +4
Learning from implicit feedback has become the standard paradigm for modern recommender systems. However, this setting is fraught with the persistent challenge of false negatives,…
Multimodal Chain-of-Thought Reasoning via ChatGPT to Protect Children from Age-Inappropriate Apps
Chuanbo Hu, Bin Liu, Minglei Yin +2
Mobile applications (Apps) could expose children to inappropriate themes such as sexual content, violence, and drug use. Maturity rating offers a quick and effective method for pot…
Unveiling the Potential of Knowledge-Prompted ChatGPT for Enhancing Drug Trafficking Detection on Social Media
Chuanbo Hu, Bin Liu, Xin Li +1
Social media platforms such as Instagram and Twitter have emerged as critical channels for drug marketing and illegal sale. Detecting and labeling online illicit drug trafficking a…
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework
Minglei Yin, Bin Liu, Neil Zhenqiang Gong +1
With rich visual data, such as images, becoming readily associated with items, visually-aware recommendation systems (VARS) have been widely used in different applications. Recent…
Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach
Chuanbo Hu, Minglei Yin, Bin Liu +2
Social media such as Instagram and Twitter have become important platforms for marketing and selling illicit drugs. Detection of online illicit drug trafficking has become critical…
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion
Chuanbo Hu, Minglei Yin, Bin Liu +2
Illicit drug trafficking via social media sites such as Instagram has become a severe problem, thus drawing a great deal of attention from law enforcement and public health agencie…