Academic

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Academic · 1 min

FedUAF: Uncertainty-Aware Fusion with Reliability-Guided Aggregation for Multimodal Federated Sentiment Analysis

arXiv:2603.13291v1 Announce Type: new Abstract: Multimodal sentiment analysis in federated learning environments faces significant challenges due to missing modalities, heterogeneous data distributions, and unreliable client …

Xianxun Zhu, Zezhong Sun, Imad Rida, Erik Cambria, Junqi Su, Rui Wang, Hui Chen

6 views Mar 17

Academic · 1 min

Pragma-VL: Towards a Pragmatic Arbitration of Safety and Helpfulness in MLLMs

arXiv:2603.13292v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) pose critical safety challenges, as they are susceptible not only to adversarial attacks such as …

Ming Wen, Kun Yang, Xin Chen, Jingyu Zhang, Dingding Han, Shiwen Cui, Yuedong Xu

8 views Mar 17

Academic · 1 min

A Robust Framework for Secure Cardiovascular Risk Prediction: An Architectural Case Study of Differentially Private …

arXiv:2603.13293v1 Announce Type: new Abstract: Accurate cardiovascular risk prediction is crucial for preventive healthcare; however, the development of robust Artificial Intelligence (AI) models is hindered …

Rodrigo Tertulino, La\'ercio Alencar

16 views Mar 17

Academic · 1 min

ICPRL: Acquiring Physical Intuition from Interactive Control

arXiv:2603.13295v1 Announce Type: new Abstract: VLMs excel at static perception but falter in interactive reasoning in dynamic physical environments, which demands planning and adaptation to …

Xinrun Xu, Pi Bu, Ye Wang, B\"orje F. Karlsson, Ziming Wang, Tengtao Song, Qi Zhu, Jun Song, Shuo Zhang, Zhiming Ding, Bo Zheng

7 views Mar 17

Academic · 1 min

Enhanced Atrial Fibrillation Prediction in ESUS Patients with Hypergraph-based Pre-training

arXiv:2603.13297v1 Announce Type: new Abstract: Atrial fibrillation (AF) is a major complication following embolic stroke of undetermined source (ESUS), elevating the risk of recurrent stroke …

Yuzhang Xie, Yuhua Wu, Ruiyu Wang, Fadi Nahab, Xiao Hu, Carl Yang

10 views Mar 17

Academic · 1 min

FusionCast: Enhancing Precipitation Nowcasting with Asymmetric Cross-Modal Fusion and Future Radar Priors

arXiv:2603.13298v1 Announce Type: new Abstract: Deep learning has significantly improved the accuracy of precipitation nowcasting. However, most existing multimodal models typically use simple channel concatenation …

Henan Wang, Shengwu Xiong, Yifang Zhang, Wenjie Yin, Chen Zhou, Yuqiang Zhang, Pengfei Duan

11 views Mar 17

Academic · 1 min

DreamReader: An Interpretability Toolkit for Text-to-Image Models

arXiv:2603.13299v1 Announce Type: new Abstract: Despite the rapid adoption of text-to-image (T2I) diffusion models, causal and representation-level analysis remains fragmented and largely limited to isolated …

Nirmalendu Prakash, Narmeen Oozeer, Michael Lan, Luka Samkharadze, Phillip Howard, Roy Ka-Wei Lee, Dhruv Nathawani, Shivam Raval, Amirali Abdullah

11 views Mar 17

Academic · 1 min

Machine Learning Models to Identify Promising Nested Antiresonance Nodeless Fiber Designs

arXiv:2603.13302v1 Announce Type: new Abstract: Hollow-core fibers offer superior loss and latency characteristics compared to solid-core alternatives, yet the geometric complexity of nested antiresonance nodeless …

Rania A. Eltaieb, Sophie LaRochelle, Leslie A. Rusch

23 views Mar 17

Academic · 1 min

Evidence-based Distributional Alignment for Large Language Models

arXiv:2603.13305v1 Announce Type: new Abstract: Distributional alignment enables large language models (LLMs) to predict how a target population distributes its responses across answer options, rather …

Viet-Thanh Pham, Lizhen Qu, Zhuang Li, Gholamreza Haffari

13 views Mar 17

Academic · 1 min

Task Expansion and Cross Refinement for Open-World Conditional Modeling

arXiv:2603.13308v1 Announce Type: new Abstract: Open-world conditional modeling (OCM), requires a single model to answer arbitrary conditional queries across heterogeneous datasets, where observed variables and …

Shreyas Bhat Brahmavar, Qiyang Liu, Yang Li, Junier Oliva

12 views Mar 17

Academic · 1 min

Preventing Curriculum Collapse in Self-Evolving Reasoning Systems

arXiv:2603.13309v1 Announce Type: new Abstract: Self-evolving reasoning frameworks let LLMs improve their reasoning capabilities by iteratively generating and solving problems without external supervision, using verifiable …

Vaibhav Mishra

11 views Mar 17

Academic · 1 min

Neural Approximation and Its Applications

arXiv:2603.13311v1 Announce Type: new Abstract: Multivariate function approximation is a fundamental problem in machine learning. Classic multivariate function approximations rely on hand-crafted basis functions (e.g., …

Wei-Hao Wu, Ting-Zhu Huang, Xi-Le Zhao, Yisi Luo, Deyu Meng

12 views Mar 17

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Academic

FedUAF: Uncertainty-Aware Fusion with Reliability-Guided Aggregation for Multimodal Federated Sentiment Analysis

Pragma-VL: Towards a Pragmatic Arbitration of Safety and Helpfulness in MLLMs

A Robust Framework for Secure Cardiovascular Risk Prediction: An Architectural Case Study of Differentially Private …

ICPRL: Acquiring Physical Intuition from Interactive Control

Enhanced Atrial Fibrillation Prediction in ESUS Patients with Hypergraph-based Pre-training

FusionCast: Enhancing Precipitation Nowcasting with Asymmetric Cross-Modal Fusion and Future Radar Priors

DreamReader: An Interpretability Toolkit for Text-to-Image Models

Machine Learning Models to Identify Promising Nested Antiresonance Nodeless Fiber Designs

Evidence-based Distributional Alignment for Large Language Models

Task Expansion and Cross Refinement for Open-World Conditional Modeling

Preventing Curriculum Collapse in Self-Evolving Reasoning Systems

Neural Approximation and Its Applications

JCG, PC

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