activity
20232026
collaborators

6 papers

cs.AI2026

More Than Mimicking Reviewers: Evaluating LLMs for Pre-Submission Peer Review

Pouya Parsa, Amin Rezaei

Peer-review feedback often arrives too late for authors to make meaningful revisions. We study an author-facing LLM system that moves part of this stress test before submission: it…

cs.CV2026

Visual Distribution Anchoring for Efficient Prompt Tuning

Pouya Parsa, Raoof Zare Moayedi, Seongjin Choi

Prompt tuning adapts vision--language models with few trainable parameters, but existing approaches trade off efficiency and adaptation: static textual prompts can overfit source c…

eess.SY2026

Can the Cloud Drive? Infrastructure Feasibility of Offloading Autonomous Driving Across 5G and 6G

Pouya Parsa, Kawon Han, Seongjin Choi

Frontier autonomous-driving models -- especially vision-language-action (VLA) models, whose forward pass approaches 60~TFLOPs -- are outgrowing economical onboard deployment,…

cs.CL2026

DynamicMem: A Long-Horizon Memory Benchmark in Real-World Settings

Wenya Xie, Shengming Zhou, Zelin Li +9

LLM agents increasingly act as personal assistants that must remember a user's profile over months: who they are (attributes), what they routinely do (habits), and what they prefer…

cs.CV2025

Video-based Vehicle Surveillance in the Wild: License Plate, Make, and Model Recognition with Self Reflective Vision-Language Models

Pouya Parsa, Keya Li, Kara M. Kockelman +1

Automatic license plate recognition (ALPR) and vehicle make and model recognition underpin intelligent transportation systems, supporting law enforcement, toll collection, and post…

cs.LG2023

Where2Start: Leveraging initial States for Robust and Sample-Efficient Reinforcement Learning

Pouya Parsa, Raoof Zare Moayedi, Mohammad Bornosi +1

The reinforcement learning algorithms that focus on how to compute the gradient and choose next actions, are effectively improved the performance of the agents. However, these algo…