works on

From the 1 of 7 linked papers with an AI index.

collaborators

7 papers

cs.SI2026

Human-AI Synergy Supports Collective Creative Search

Chenyi Li, Raja Marjieh, Haoyu Hu +4

The paper investigates how humans and generative AI can work together in a word‑guessing game, finding that hybrid human‑AI teams achieve higher performance while maintaining diver…

q-bio.NC2026

Closing the Loop to Discover Psychological Theories with an Automated Cognitive Scientist

Akshay K. Jagadish, Younes Strittmatter, Nori Jacoby +5

Across the sciences, autonomous systems are increasingly being used in closed-loop discovery, proposing new theories and designing and running experiments to test them. This approa…

cs.SI2026

Popularity Feedback Constrains Innovation in Cultural Markets

Lucas Gautheron, Raja Marjieh, Dalton C. Conley +5

Real-world creative processes ranging from art to science rely on social feedback-loops between selection and creation. Yet, the effects of popularity feedback on collective creati…

cs.SI2026

An Experimental Method to Study Opinion Diffusion in Human-AI Hybrid Societies

Léna Gaubert, Rémi Devaux, Elif Çelen +4

As artificial intelligence increasingly mediates public discourse, it becomes important to understand how human-AI collectives shape opinion formation, deliberation, and democratic…

cs.LG2026

DUET: Optimize Token-Budget Allocation for Reinforcement Learning with Verifiable Rewards

Haoyu Hu, Xuandong Zhao, Xuhai "Orson'' Xu +1

Reinforcement learning with verifiable rewards (RLVR) generates hundreds of thousands of tokens per training step, with rollout generation dominating the computational cost. The ov…

cs.HC2026

Why Human Guidance Matters in Collaborative Vibe Coding

Haoyu Hu, Raja Marjieh, Katherine M Collins +4

Writing code has been one of the most transformative ways for human societies to translate abstract ideas into tangible technologies. Modern AI is changing this process by enabling…