5 papers
RAS: Reflection-Augmented Scaling with In-Context Learning for Executable Cypher Query Generation
Minseok Jung, Abhas Ricky, Muhammad Rameez Chatni
Inference-time scaling can reduce errors in structured query generation, but methods to allocate the compute for query code generation remains underexplored. We study Text2Cypher,…
Measuring Perceptions of Fairness in AI Systems: The Effects of Infra-marginality
Schrasing Tong, Minseok Jung, Ilaria Liccardi +1
Differences in data distributions between demographic groups, known as the problem of infra-marginality, complicate how people evaluate fairness in machine learning models. We pres…
Group-Adaptive Threshold Optimization for Robust AI-Generated Text Detection
Minseok Jung, Cynthia Fuertes Panizo, Liam Dugan +4
The advancement of large language models (LLMs) has made it difficult to differentiate human-written text from AI-generated text. Several AI-text detectors have been developed in r…
3D Optimization for AI Inference Scaling: Balancing Accuracy, Cost, and Latency
Minseok Jung, Abhas Ricky, Muhammad Rameez Chatni
AI inference scaling is often tuned through 1D heuristics (a fixed reasoning pass) or 2D bivariate trade-offs (e.g., accuracy vs. compute), which fail to consider cost and latency…
Quantitative Insights into Large Language Model Usage and Trust in Academia: An Empirical Study
Minseok Jung, Aurora Zhang, May Fung +2
Large Language Models (LLMs) are transforming writing, reading, teaching, and knowledge retrieval in many academic fields. However, concerns regarding their misuse and erroneous ou…