12 papers
Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution
Ning Liu, Kalle Kujanpää, Zhaoxuan Zhu +11
Warehouse operations are governed by Standard Operating Procedures (SOPs) that encode complex, multi-system decision logic, which must be executed reliably under strict time constr…
Tool-Making and Self-Evolving LLM Agents in Low-Latency Systems
Kalle Kujanpää, Ning Liu, Shahnawaz Alam +4
Production LLM agents often waste latency and reliability by regenerating code for the same procedural steps on every request. We replace this inference-time coding loop with an ag…
Hierarchical Sparse Circuit Extraction from Billion-Parameter Language Models through Scalable Attribution Graph Decomposition
Mohammed Mudassir Uddin, Shahnawaz Alam, Mohammed Kaif Pasha
Extracting sparse circuits from billion-parameter transformers is constrained by search cost and pervasive feature reuse across co-active pathways. Hierarchical Attributio…
Meta-Learning Guided Pruning for Few-Shot Plant Pathology on Edge Devices
Mohammed Mudassir Uddin, Shahnawaz Alam, Mohammed Kaif Pasha +3
Farmers in remote areas need quick and reliable methods for identifying plant diseases, yet they often lack access to laboratories or high-performance computing resources. Deep lea…
MolFM-Lite: Multi-Modal Molecular Property Prediction with Conformer Ensemble Attention and Cross-Modal Fusion
Syed Omer Shah, Mohammed Maqsood Ahmed, Danish Mohiuddin Mohammed +2
Most machine learning models for molecular property prediction rely on a single molecular representation (either a sequence, a graph, or a 3D structure) and treat molecular geometr…
LAF-YOLOv10 with Partial Convolution Backbone, Attention-Guided Feature Pyramid, Auxiliary P2 Head, and Wise-IoU Loss for Small Object Detection in Drone Aerial Imagery
Sohail Ali Farooqui, Zuhair Ahmed Khan Taha, Mohammed Mudassir Uddin +1
Unmanned aerial vehicles serve as primary sensing platforms for surveillance, traffic monitoring, and disaster response, making aerial object detection a central problem in applied…