IEEE

AI Based Mock Interview System Using Natural Language Processing

Abstract: Mock interviews are crucial for job applicants to enhance and polish their skills before to real interviews. This study presents a novel AI-driven Mock Interview System that replicates ...
IEEE

Prompt-to-G-Code Generation Using Large Language Models for Additive Manufacturing

Abstract: This research explores the capabilities of large language models (LLMs) in the context of additive manufacturing, with a focus on generating G-code from natural language prompts. Three ...
Journal of Medical Internet Research

Virtual Patient Simulations Using Social Robotics Combined With Large Language Models for Clinical Reasoning Training in Medical Education: Mixed Methods Study

Recent advancements in large language models (LLMs) and social robots have introduced new possibilities for enhancing VP interactivity and realism. However, their application in VP simulations has ...
GitHub

Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning

REC-R1 is a general framework that bridges generative large language models (LLMs) and recommendation systems via reinforcement learning. Check the paper here.