3 papers
cs.CL2025
Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers
Ruochi Li, Haoxuan Zhang, Edward Gehringer +3
The surge in scientific submissions has placed increasing strain on the traditional peer-review process, prompting the exploration of large language models (LLMs) for automated rev…
cs.HC2025
Human-in-the-Loop Systems for Adaptive Learning Using Generative AI
Bhavishya Tarun, Haoze Du, Dinesh Kannan +1
A Human-in-the-Loop (HITL) approach leverages generative AI to enhance personalized learning by directly integrating student feedback into AI-generated solutions. Students critique…
cs.CL2025
Objective Metrics for Evaluating Large Language Models Using External Data Sources
Haoze Du, Richard Li, Edward Gehringer
Evaluating the performance of Large Language Models (LLMs) is a critical yet challenging task, particularly when aiming to avoid subjective assessments. This paper proposes a frame…