3 papers
cs.HC2026
iRULER: Intelligible Rubric-Based User-Defined LLM Evaluation for Revision
Jingwen Bai, Wei Soon Cheong, Philippe Muller +1
Large Language Models (LLMs) have become indispensable for evaluating writing. However, text feedback they provide is often unintelligible, generic, and not specific to user criter…
cs.AI2026
Day-Ahead Electricity Price Forecasting for Volatile Markets Using Foundation Models with Regularization Strategy
Kritchanat Ponyuenyong, Pengyu Tu, Jia Wei Tan +3
Electricity price forecasting (EPF) is essential for energy markets stakeholders (e.g. grid operators, energy traders, policymakers) but remains challenging due to the inherent vol…
cs.LG2026
Assessing Electricity Demand Forecasting with Exogenous Data in Time Series Foundation Models
Wei Soon Cheong, Lian Lian Jiang, Jamie Ng Suat Ling
Time-series foundation models have emerged as a new paradigm for forecasting, yet their ability to effectively leverage exogenous features -- critical for electricity demand foreca…