activity
20232026
most citedSearch Arena: Analyzing Search-Augmented LLMs

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Recon: Reconstruction-Guided Reasoning Synthesis for User Modeling

Alan Zhu, Mihran Miroyan, Carolyn Wang +4

User modeling aims to use language models (LMs) to mimic an individual's behavior from a corpus of past context-action pairs (e.g., conversation turns), enabling the simulation of…

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.CL2025

EduMod-LLM: A Modular Approach for Designing Flexible and Transparent Educational Assistants

Meenakshi Mittal, Rishi Khare, Mihran Miroyan +2

With the growing use of Large Language Model (LLM)-based Question-Answering (QA) systems in education, it is critical to evaluate their performance across individual pipeline compo…

cs.CL2025

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.CY2025

ParaStudent: Closing the Sim2Real Gap in User Simulators for AI Tutor Evaluation

Rose Niousha, Mihran Miroyan, Abigail O'Neill +4

Evaluating Artificial Intelligence (AI) tutor feedback before deployment requires anticipating student engagement, typically assessed through real interaction data. We introduce Pa…

cs.CL2025★ 1 cited

Search Arena: Analyzing Search-Augmented LLMs

Mihran Miroyan, Tsung-Han Wu, Logan King +8

Search-augmented language models combine web search with Large Language Models (LLMs) to improve response groundedness and freshness. However, analyzing these systems remains chall…

cs.CY2023

EIT: Earnest Insight Toolkit for Evaluating Students' Earnestness in Interactive Lecture Participation Exercises

Mihran Miroyan, Shiny Weng, Rahul Shah +2

In today's rapidly evolving educational landscape, traditional modes of passive information delivery are giving way to transformative pedagogical approaches that prioritize active…