Representation learning to advance multi-institutional studies with electronic health record data from US and France
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Universal restoration of medical images
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From Density Matrices to Phase Transitions in Deep Learning: Spectral Early Warnings and Interpretability
arXiv:2603.29805v2 Announce Type: replace-cross Abstract: A key problem in the modern study of AI is predicting and understanding emergent capabilities…
How Emotion Shapes the Behavior of LLMs and Agents: A Mechanistic Study
arXiv:2604.00005v1 Announce Type: new Abstract: Emotion plays an important role in human cognition and performance. Motivated by this, we investigate…
The Energy Footprint of LLM-Based Environmental Analysis: LLMs and Domain Products
arXiv:2604.00053v1 Announce Type: cross Abstract: As large language models (LLMs) are increasingly used in domain-specific applications, including climate change and…
Scalable Pretraining of Large Mixture of Experts Language Models on Aurora Super Computer
arXiv:2604.00785v1 Announce Type: cross Abstract: Pretraining Large Language Models (LLMs) from scratch requires massive amount of compute. Aurora super computer…
Routing-Free Mixture-of-Experts
arXiv:2604.00801v1 Announce Type: cross Abstract: Standard Mixture-of-Experts (MoE) models rely on centralized routing mechanisms that introduce rigid inductive biases. We…
Agenda-based Narrative Extraction: Steering Pathfinding Algorithms with Large Language Models
arXiv:2603.29661v1 Announce Type: cross Abstract: Existing narrative extraction methods face a trade-off between coherence, interactivity, and multi-storyline support. Narrative Maps…