3 papers
cs.LG2026
Calibrating conditional risk
Andrey Vasilyev, Yikai Wang, Xiaocheng Li +1
We introduce and study the problem of calibrating conditional risk, which involves estimating the expected loss of a prediction model conditional on input features. We analyze this…
cs.CV2026
3D-IDE: 3D Implicit Depth Emergent
Chushan Zhang, Ruihan Lu, Jinguang Tong +2
Leveraging 3D information within Multimodal Large Language Models (MLLMs) has recently shown significant advantages for indoor scene understanding. However, existing methods, inclu…
cs.AI2025
Risk Profiling and Modulation for LLMs
Yikai Wang, Xiaocheng Li, Guanting Chen
Large language models (LLMs) are increasingly used for decision-making tasks under uncertainty; however, their risk profiles and how they are influenced by prompting and alignment…