Jasin Cekinmez

Hi, I’m Jasin, a senior at Princeton studying applied math and computer science. I build evaluations of multimodal and agentic AI systems, probing where they fail, why, and how their behavior diverges from humans. Grateful to be supported by a Laude Institute Slingshot. Check out my work below.

Along the way, I’ve interned on the Query Optimization team at Teradata and as an ML researcher at QCRI. When I’m not stress-testing models, I’m probably constructing crosswords 🧩 for The New York Times.

Jasin Cekinmez

Research

SportD figure
SportD: Can VLMs Physically Strategize?
Jasin Cekinmez*, Addison J. Wu*, Haotian Xia, Kyumin Andrew Shim, Anay Putty, Jinglin Xiao, Zhuohan Liu, Leo Liu, Weining Shen
Adversarial influence figure
How does Adversarial Influence Scale in Multi-Agent Systems?
RLVR figure
Quantifying Empirical Compute-Supervision Tradeoffs in RLVR
Ryo Mitsuhashi*, Patrick Chen*, Isabelle Tseng*, Jasin Cekinmez*, Addison J. Wu*
OccludeBench figure
OccludeBench: Can VLMs Find What’s Missing?
Polysemy figure
Where Did the Ambiguity Go? Examining How Multimodal Models Interpret Polysemous Words
Query timing figure
Query Timing Produces Opposite Positional Biases Between LLMs and Humans
ADAM figure
ADAM: A Diverse Archive of Mankind for Evaluating and Enhancing LLMs in Biographical Reasoning
Jasin Cekinmez*, Omid Ghahroodi*, Saad Fowad Chandle, Dhiman Gupta, Ehsaneddin Asgari
Guess the Unified Model figure
Guess the Unified Model: Domain and Linguistic Effects in Generated Images