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cs.LG2026★ 2 cited
Aligning Large Language Models with Human Feedback: Mathematical Foundations and Algorithm Design
Siliang Zeng, Luca Viano, Chenliang Li +6
This article provides an introduction to the mathematical foundations and algorithmic frameworks used to align Large Language Models (LLMs) with human intentions, preferences, and…
cs.LG2026
Building Presentation Intelligence for High-Quality Slide Generation
Yuhang Xie, Cheng Li, Chenliang Li +6
PowerPoint presentations (PPTs) are a dominant medium for communication across diverse domains, yet high-quality PPT generation still depends heavily on labor-intensive human effor…
cs.LG2026
Enhancing Pretrained Model-based Continual Representation Learning via Guided Random Projection
Ruilin Li, Heming Zou, Xiufeng Yan +4
Recent paradigms in Random Projection Layer (RPL)-based continual representation learning have demonstrated superior performance when building upon a pre-trained model (PTM). These…