4 papers
Verified Tool Calls Improve LLM Agent Reliability Under Non-Atomic Failures
Isham Kalappurackal Mansoor, Abhishek Phadke, Pratip Rana
Large Language Model (LLM) agents rely on external tools to perform multistage tasks. Existing agent frameworks typically assume that tool calls are atomic and return binary succes…
BioShield: A Context-Aware Firewall for Securing Bio-LLMs
Protiva Das, Sovon Chakraborty, Sidhant Narula +5
The rapid advancement of Large Language Models (LLMs) in biological research has significantly lowered the barrier to accessing complex bioinformatics knowledge, ex perimental desi…
A workflow for generating synthetic LiDAR datasets in simulation environments
Abhishek Phadke, Shakib Mahmud Dipto, Pratip Rana
This paper presents a simulation workflow for generating synthetic LiDAR datasets to support autonomous vehicle perception, robotics research, and sensor security analysis. Leverag…
Proof-of-TBI -- Fine-Tuned Vision Language Model Consortium and OpenAI-o3 Reasoning LLM-Based Medical Diagnosis Support System for Mild Traumatic Brain Injury (TBI) Prediction
Ross Gore, Eranga Bandara, Sachin Shetty +10
Mild Traumatic Brain Injury (TBI) detection presents significant challenges due to the subtle and often ambiguous presentation of symptoms in medical imaging, making accurate diagn…