collaborators

5 papers

cs.AI2026

Where did the ambiguity go? Examining how multimodal models interpret polysemous words

Jasin Cekinmez, Addison J. Wu, Raja Marjieh +1

Human language is highly polysemous. Many common words (e.g., "bank" or "palm") carry several distinct meanings that shape what humans communicate and imagine. Large language model…

cs.AI2026

Assessing the Effect of Cross-Domain Mapping on Creativity in Humans and Large Language Models

Qiawen Ella Liu, Marina Dubova, Henry Conklin +2

Creativity is the ability to come up with novel ideas, a capacity crucial for human development and flourishing. Are large language models (LLMs) creative in the same way humans ar…

cs.CL2026

Large Language Models provide support for the parallelogram theory of analogy

Qiawen Ella Liu, Raja Marjieh, Jian-Qiao Zhu +2

Four-term word analogies (A:B::C:D) are classically modeled geometrically as parallelograms: adding the vector B-A+C produces D. Recent work suggests that this model poorly capture…

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…

cs.SI2025

Characterizing the Interaction of Cultural Evolution Mechanisms in Experimental Social Networks

Raja Marjieh, Manuel Anglada-Tort, Thomas L. Griffiths +1

Understanding how cognitive and social mechanisms shape the evolution of complex artifacts such as songs is central to cultural evolution research. Social network topology (what ar…