3 papers
cs.CL2026
Are Large Reasoning Models Interruptible?
Tsung-Han Wu, Mihran Miroyan, David M. Chan +3
Real-world applications of Large Reasoning Models (LRMs) often require reasoning about changing prompts or environments. In this work, we challenge the frozen world assumption and…
cs.AI2026
Cooperate to Compete: Strategic Coordination in Multi-Agent Conquest
Abigail O'Neill, Alan Zhu, Mihran Miroyan +2
Language Model (LM)-based agents remain largely untested in mixed-motive settings where agents must leverage short-term cooperation for long-term competitive goals (e.g., multi-par…
cs.CY2025
ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle
Mihran Miroyan, Rose Niousha, Joseph E. Gonzalez +2
Large Language Models (LLMs) have shown strong performance on programming tasks, but can they generate student-like code like real students - imperfect, iterative, and stylisticall…