Education
A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models
Powered by remarkable advancements in Large Language Models (LLMs), Mul-timodal Large Language Models (MLLMs) demonstrate impressive capabilities in manifold tasks.
0d288dbe7a757672151aa5fb5423ef2e-Paper-Conference.pdf
Exp. Psychology, Oxford Brain Mind Institute, EPFL Jan P .
The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms
We give exact expressions for the risk and learning rate curves in terms of a deterministic solution to a system of ODEs.
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors Joseph Ortiz
This online learning process is however fundamentally slow.
KnowGPT: Knowledge Graph based PrompT ing for Large Language Models
Large Language Models (LLMs) have demonstrated remarkable capabilities in many real-world applications.
End-to-end Learnable Clustering for Intent Learning in Recommendation
Intent learning, which aims to learn users' intents for user understanding and
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning Keying Kuang UC Berkeley Frances Dean UC Berkeley & UCSF Jack B. Jedlicki
We focus on scenarios where identifying a patient's digital twin from noninvasive
Continuous Partitioning for Graph-Based Semi-Supervised Learning
This thresholding can further exacerbate the aforementioned degeneracy.
