Academic

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Academic · 1 min

PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities

arXiv:2604.04999v1 Announce Type: new Abstract: Multimodal self-supervised pretraining offers a promising route to cancer prognosis by integrating histopathology whole-slide images, gene expression, and pathology reports, …

Kai Yu, Shuang Zhou, Yiran Song, Zaifu Zhan, Jie Peng, Kaixiong Zhou, Tianlong Chen, Feng Xie, Meng Wang, Huazhu Fu, Mingquan Lin, Rui Zhang

33 views Apr 8

Academic · 1 min

Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks

arXiv:2604.05230v1 Announce Type: new Abstract: Efficient and robust optimization is essential for neural networks, enabling scientific machine learning models to converge rapidly to very high …

Anas Jnini, Elham Kiyani, Khemraj Shukla, Jorge F. Urban, Nazanin Ahmadi Daryakenari, Johannes Muller, Marius Zeinhofer, George Em Karniadakis

80 views Apr 8

Academic · 1 min

Uncertainty-Guided Latent Diagnostic Trajectory Learning for Sequential Clinical Diagnosis

arXiv:2604.05116v1 Announce Type: new Abstract: Clinical diagnosis requires sequential evidence acquisition under uncertainty. However, most Large Language Model (LLM) based diagnostic systems assume fully observed …

Xuyang Shen, Haoran Liu, Dongjin Song, Martin Renqiang Min

27 views Apr 8

Academic · 1 min

LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals

arXiv:2604.05655v1 Announce Type: new Abstract: This work characterizes large language models' chain-of-thought generation as a structured trajectory through representation space. We show that mathematical reasoning …

Lihao Sun, Hang Dong, Bo Qiao, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan

30 views Apr 8

Academic · 1 min

PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing

arXiv:2604.05018v1 Announce Type: new Abstract: Synthesizing unstructured research materials into manuscripts is an essential yet under-explored challenge in AI-driven scientific discovery. Existing autonomous writers are …

Yiwen Song, Yale Song, Tomas Pfister, Jinsung Yoon

100 views Apr 8

Academic · 1 min

Agile Governance Approach for Generative Artificial Intelligence in China

J.J. Hua

65 views Apr 7

Academic · 1 min

Integrating Artificial Intelligence, Physics, and Internet of Things: A Framework for Cultural Heritage Conservation

arXiv:2604.03233v1 Announce Type: new Abstract: The conservation of cultural heritage increasingly relies on integrating technological innovation with domain expertise to ensure effective monitoring and predictive …

Carmine Valentino, Federico Pichi, Francesco Colace, Dajana Conte, Gianluigi Rozza

58 views Apr 7

Academic · 1 min

Automated Conjecture Resolution with Formal Verification

arXiv:2604.03789v1 Announce Type: new Abstract: Recent advances in large language models have significantly improved their ability to perform mathematical reasoning, extending from elementary problem solving …

Haocheng Ju, Guoxiong Gao, Jiedong Jiang, Bin Wu, Zeming Sun, Leheng Chen, Yutong Wang, Yuefeng Wang, Zichen Wang, Wanyi He, Peihao Wu, Liang Xiao, Ruochuan Liu, Bryan Dai, Bin Dong

28 views Apr 7

Academic · 1 min

Document-Level Numerical Reasoning across Single and Multiple Tables in Financial Reports

arXiv:2604.03664v1 Announce Type: new Abstract: Despite the strong language understanding abilities of large language models (LLMs), they still struggle with reliable question answering (QA) over …

Yi-Cheng Wang, Wei-An Wang, Chu-Song Chen

48 views Apr 7

Academic · 1 min

AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government …

arXiv:2604.03672v1 Announce Type: new Abstract: Government agencies worldwide face growing volumes of citizen appeals, with electronic submissions increasing significantly over recent years. Traditional manual processing …

Vladimir Beskorovainyi

41 views Apr 7

Academic · 1 min

When Adaptive Rewards Hurt: Causal Probing and the Switching-Stability Dilemma in LLM-Guided LEO Satellite Scheduling

arXiv:2604.03562v1 Announce Type: new Abstract: Adaptive reward design for deep reinforcement learning (DRL) in multi-beam LEO satellite scheduling is motivated by the intuition that regime-aware …

Yuanhang Li

22 views Apr 7

Academic · 1 min

Improving Model Performance by Adapting the KGE Metric to Account for System Non-Stationarity

arXiv:2604.03906v1 Announce Type: new Abstract: Geoscientific systems tend to be characterized by pronounced temporal non-stationarity, arising from seasonal and climatic variability in hydrometeorological drivers, and …

M Jawad, HV Gupta, YH Wang, MA Farmani, A Behrangi, GY Niu

63 views Apr 7

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Academic

PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities

Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks

Uncertainty-Guided Latent Diagnostic Trajectory Learning for Sequential Clinical Diagnosis

LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals

PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing

Agile Governance Approach for Generative Artificial Intelligence in China

Integrating Artificial Intelligence, Physics, and Internet of Things: A Framework for Cultural Heritage Conservation

Automated Conjecture Resolution with Formal Verification

Document-Level Numerical Reasoning across Single and Multiple Tables in Financial Reports

AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government …

When Adaptive Rewards Hurt: Causal Probing and the Switching-Stability Dilemma in LLM-Guided LEO Satellite Scheduling

Improving Model Performance by Adapting the KGE Metric to Account for System Non-Stationarity

JCG, PC

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