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cs.LG2026
Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness
Zihan Liang, Ziwen Pan, Ruoxuan Xiong
Multimodal clinical records contain structured measurements and clinical notes recorded over time, offering rich temporal information about the evolution of patient health. Yet the…
cs.LG2025
AlgoTrace: Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models
Samuel Lippl, Thomas McGee, Kimberly Lopez +5
How do inference time and latent computations enable large language models (LLMs) to solve multi-step reasoning problems? We introduce AlgoTrace, a framework for tracing and steeri…
cs.LG2025
Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness
Zihan Liang, Ziwen Pan, Ruoxuan Xiong
Clinical notes contain rich patient information, such as diagnoses or medications, making them valuable for patient representation learning. Recent advances in large language model…