9 citations · 9 across the 9 of their papers we have counts for
9 papers
One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction
Yuxing Lu, Yushuhong Lin, Jason Zhang
Large language models applied to clinical prediction exhibit case-level heterogeneity: simple cases yield consistent outputs, while complex cases produce divergent predictions unde…
VLIC: Vision-Language Models As Perceptual Judges for Human-Aligned Image Compression
Kyle Sargent, Ruiqi Gao, Philipp Henzler +5
Evaluations of image compression performance which include human preferences have generally found that naive distortion functions such as MSE are insufficiently aligned to human pe…
Is Passive Expertise-Based Personalization Enough? A Case Study in AI-Assisted Test-Taking
Li Siyan, Jason Zhang, Akash Maharaj +2
Novice and expert users have different systematic preferences in task-oriented dialogues. However, whether catering to these preferences actually improves user experience and task…
AutoLibra: Agent Metric Induction from Open-Ended Human Feedback
Hao Zhu, Phil Cuvin, Xinkai Yu +3
Agents are predominantly evaluated and optimized via task success metrics, which are coarse, rely on manual design from experts, and fail to reward intermediate emergent behaviors.…
Survey and Experiments on Mental Disorder Detection via Social Media: From Large Language Models and RAG to Agents
Zhuohan Ge, Darian Li, Yubo Wang +10
Mental disorders represent a critical global health challenge, and social media is increasingly viewed as a vital resource for real-time digital phenotyping and intervention. To le…
Uncovering Latent Chain of Thought Vectors in Language Models
Jason Zhang, Scott Viteri
In this work, we examine how targeted perturbations in the activation space of Language Models (LMs) can encode complex reasoning patterns. We inject steering vectors, derived from…
DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation
Jason Shuo Zhang, Benjamin Howson, Panayiota Savva +1
Personalised discount codes provide a powerful mechanism for managing customer relationships and operational spend in e-commerce. Bandits are well suited for this product area, giv…
Accelerating Exploration with Unlabeled Prior Data
Qiyang Li, Jason Zhang, Dibya Ghosh +2
Learning to solve tasks from a sparse reward signal is a major challenge for standard reinforcement learning (RL) algorithms. However, in the real world, agents rarely need to solv…
Automatic Data Visualization Generation from Chinese Natural Language Questions
Yan Ge, Victor Junqiu Wei, Yuanfeng Song +2
Data visualization has emerged as an effective tool for getting insights from massive datasets. Due to the hardness of manipulating the programming languages of data visualization,…