7 papers
Learning Who Benefits Most: Multi-Treatment Causal Ranking for Population Health Stratification
Rocco Zaccagnino, Martina Girolamo, Alberto Lombardi +3
Population health stratification frameworks, such as the Italian DM77, organize patients by clinical need and care pathways but offer limited guidance on which care changes to prio…
Simple Diffusion Language Models Are More Effective Few-Step Generators Than Reported
Hasan Amin, Ming Yin, Rajiv Khanna
Diffusion language models (DLMs) promise fast parallel generation, yet high-quality samples often require large number of refinement steps, which diminishes their advantage in prac…
When Does Scale-Invariant Optimization Become Unstable? An Exact Schedule Law with Weight Decay
Hasan Amin, Wei-Kai Chang, Rajiv Khanna
Normalization renders large parts of neural networks effectively scale invariant, inducing a hidden feedback loop in which learning-rate schedules and weight decay interact through…
Escaping the Mode Lottery: Multi-Response Training Improves Language Model Generalization
Hasan Amin, Kian Ahrabian, Ming Yin +1
Modern language-model fine-tuning typically pairs each prompt with a single response, even though many prompts admit multiple valid completions. This effectively reduces a multi-mo…
From Fallback to Frontline: When Can LLMs be Superior Annotators of Human Perspectives?
Hasan Amin, Harry Yizhou Tian, Xiaoni Duan +3
Although large language models (LLMs) are increasingly used as annotators at scale, they are typically treated as a pragmatic fallback rather than a faithful estimator of human per…
Understanding the Effects of AI-Assisted Critical Thinking on Human-AI Decision Making
Harry Yizhou Tian, Hasan Amin, Ming Yin
Despite the growing prevalence of human-AI decision making, the human-AI team's decision performance often remains suboptimal, partially due to insufficient examination of humans'…
Align When They Want, Complement When They Need! Human-Centered Ensembles for Adaptive Human-AI Collaboration
Hasan Amin, Ming Yin, Rajiv Khanna
In human-AI decision making, designing AI that complements human expertise has been a natural strategy to enhance human-AI collaboration, yet it often comes at the cost of decrease…