papers

Publications (6)

cs.LG2026

Tailored Behavior-Change Messaging for Physical Activity: Integrating Contextual Bandits and Large Language Models

Haochen Song, Dominik Hofer, Rania Islambouli +6

Contextual multi-armed bandit (cMAB) algorithms offer a promising framework for adapting behavioral interventions to individuals over time. However, cMABs often require large sampl…

cs.LG2026

Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization

Tong Li, Jacob Nogas, Haochen Song +8

Traditional randomized A/B experiments assign arms with uniform random (UR) probability, such as 50/50 assignment to two versions of a website to discover whether one version engag…

cs.AI2026

What Papers Don't Tell You: Recovering Tacit Knowledge for Automated Paper Reproduction

Lehui Li, Ruining Wang, Haochen Song +8

Automated paper reproduction -- generating executable code from academic papers -- is bottlenecked not by information retrieval but by the tacit knowledge that papers inevitably le…

cs.LG2025

Adaptive Experiments Under Data Sparse Settings: Applications for Educational Platforms

Haochen Song, Ilya Musabirov, Ananya Bhattacharjee +4

Adaptive experimentation is increasingly used in educational platforms to personalize learning through dynamic content and feedback. However, standard adaptive strategies such as T…

cs.HC2025

Investigating the Role of Situational Disruptors in Engagement with Digital Mental Health Tools

Ananya Bhattacharjee, Joseph Jay Williams, Miranda Beltzer +6

Challenges in engagement with digital mental health (DMH) tools are commonly addressed through technical enhancements and algorithmic interventions. This paper shifts the focus tow…

cs.HC2026

Structured Exploration vs. Generative Flexibility: A Field Study Comparing Bandit and LLM Architectures for Personalised Health Behaviour Interventions

Dominik P. Hofer, Haochen Song, Rania Islambouli +5

Behaviour Change Techniques (BCTs) are central to digital health interventions, yet selecting and delivering effective techniques remains challenging. Contextual bandits enable sta…