3 papers
cs.CL2026
Au-M-ol: A Unified Model for Medical Audio and Language Understanding
Meizhu Liu, Nistha Mitra, Paul Li +3
In this work, we present Au-M-ol, a novel multimodal architecture that extends Large Language Models (LLMs) with audio processing. It is designed to improve performance on clinical…
cs.AI2024
Syllabus: Portable Curricula for Reinforcement Learning Agents
Ryan Sullivan, Ryan Pégoud, Ameen Ur Rehman +5
Curriculum learning has been a quiet, yet crucial component of many high-profile successes of reinforcement learning. Despite this, it is still a niche topic that is not directly s…
cs.HC2023
A Comparative Evaluation of Visual Summarization Techniques for Event Sequences
Kazi Tasnim Zinat, Jinhua Yang, Arjun Gandhi +2
Real-world event sequences are often complex and heterogeneous, making it difficult to create meaningful visualizations using simple data aggregation and visual encoding techniques…