9 citations · 15 across the 15 of their papers we have counts for
6 papers · 1 filter
LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving
Ahmad Sarlak, Hao Wang, Rahul Amin +1
Cooperative perception (CP) enables connected autonomous vehicles (CAVs) to share complementary observations for safer navigation, but practical deployment is limited by bandwidth…
From Talking Words to Sharing Thoughts: Scalable Multi-LLM Aggregation via Structured Message Passing
Niloufar Mehrabi, Sayed Pedram Haeri Boroujeni, Abolfazl Razi
The emergence of specialized, domain-tuned Large Language Models (LLMs) has demonstrated that smaller models can achieve expert-level performance in specific tasks, while strugglin…
Don't Waste Bits! Adaptive KV-Cache Quantization for Lightweight On-Device LLMs
Sayed Pedram Haeri Boroujeni, Niloufar Mehrabi, Patrick Woods +2
Large Language Models (LLMs) have achieved remarkable progress across reasoning, generation, and decision-making tasks, yet deploying them on mobile, embedded, and edge devices rem…
Comparative Analysis of Patch Attack on VLM-Based Autonomous Driving Architectures
David Fernandez, Pedram MohajerAnsari, Amir Salarpour +3
Vision-language models are emerging for autonomous driving, yet their robustness to physical adversarial attacks remains unexplored. This paper presents a systematic framework for…
Meta-Adaptive Beam Search Planning for Transformer-Based Reinforcement Learning Control of UAVs with Overhead Manipulators under Flight Disturbances
Hazim Alzorgan, Sayed Pedram Haeri Boroujeni, Abolfazl Razi
Drones equipped with overhead manipulators offer unique capabilities for inspection, maintenance, and contact-based interaction. However, the motion of the drone and its manipulato…
Reliability-Aware Determinantal Point Processes for Robust Informative Data Selection in Large Language Models
Ahmad Sarlak, Abolfazl Razi
Informative data selection is a key requirement for large language models (LLMs) to minimize the amount of data required for fine-tuning, network distillation, and token pruning, e…