Papers
Research papers from arXiv and related sources
DiverseDiT: Towards Diverse Representation Learning in Diffusion Transformers
Recent breakthroughs in Diffusion Transformers (DiTs) have revolutionized the field of visual synthesis due to their superior scalability. To facilitate DiTs' capability of capturing meaningful int...
Mengping Yang, Zhiyu Tan, Binglei Li, Xiaomeng Yang, Hesen Chen, Hao Li
Continuous Ventricular Volumetric Quantification in Patients with Arrhythmias using Real-Time 3D CMR-MOTUS
Conventional cardiovascular magnetic resonance (CMR) cine imaging relies on binning multiple heartbeats into a single cardiac cycle, which fails in arrhythmic patients where beat-to-beat variabilit...
Thomas E. Olausson, Maarten L. Terpstra, Rizwan Ahmad, Edwin Versteeg, Casper Beijst, Yuchi Han, ...
A comparative numerical study of graph-based splitting algorithms for linear subspaces
In this note, we test the performance of six algorithms from the family of graph-based splitting methods [SIAM J. Optim., 34 (2024), pp. 1569-1594] specialized to normal cones of linear subspaces. ...
Francisco J. Aragón-Artacho, Rubén Campoy, Irene López-Larios, César López-Pastor
Constraint-Aware Generative Re-ranking for Multi-Objective Optimization in Advertising Feeds
Optimizing reranking in advertising feeds is a constrained combinatorial problem, requiring simultaneous maximization of platform revenue and preservation of user experience. Recent generative rank...
Chenfei Li, Hantao Zhao, Weixi Yao, Ruiming Huang, Rongrong Lu, Geng Tian, Dongying Kong
PRAM-R: A Perception-Reasoning-Action-Memory Framework with LLM-Guided Modality Routing for Adaptive Autonomous Driving
Multimodal perception enables robust autonomous driving but incurs unnecessary computational cost when all sensors remain active. This paper presents PRAM-R, a unified Perception-Reasoning-Action-M...
Yi Zhang, Xian Zhang, Saisi Zhao, Yinglei Song, Chengdong Wu, Nenad Petrovic, Alois Knoll
When Do Language Models Endorse Limitations on Human Rights Principles?
As Large Language Models (LLMs) increasingly mediate global information access with the potential to shape public discourse, their alignment with universal human rights principles becomes important...
Keenan Samway, Nicole Miu Takagi, Rada Mihalcea, Bernhard Schölkopf, Ilias Chalkidis, Daniel Hers...
Statistical Topological Gradient and Shape Optimization for Robust Metal--Semiconductor Contact Reconstruction
We develop a statistically robust framework for reconstructing metal--semiconductor contact regions using topological gradients. The inverse problem is formulated as the identification of an unknow...
Lekbir Afraites, Aissam Hadri, Mourad Hrizi, Julius Fergy Tiongson Rabago
Code Fingerprints: Disentangled Attribution of LLM-Generated Code
The rapid adoption of Large Language Models (LLMs) has transformed modern software development by enabling automated code generation at scale. While these systems improve productivity, they introdu...
Jiaxun Guo, Ziyuan Yang, Mengyu Sun, Hui Wang, Jingfeng Lu, Yi Zhang
Noise-aware Client Selection for carbon-efficient Federated Learning via Gradient Norm Thresholding
Training large-scale Neural Networks requires substantial computational power and energy. Federated Learning enables distributed model training across geospatially distributed data centers, leverag...
Patrick Wilhelm, Inese Yilmaz, Odej Kao
Towards Realistic Personalization: Evaluating Long-Horizon Preference Following in Personalized User-LLM Interactions
Large Language Models (LLMs) are increasingly serving as personal assistants, where users share complex and diverse preferences over extended interactions. However, assessing how well LLMs can foll...
Qianyun Guo, Yibo Li, Yue Liu, Bryan Hooi
CAM-LDS: Cyber Attack Manifestations for Automatic Interpretation of System Logs and Security Alerts
Log data are essential for intrusion detection and forensic investigations. However, manual log analysis is tedious due to high data volumes, heterogeneous event formats, and unstructured messages....
Max Landauer, Wolfgang Hotwagner, Thorina Boenke, Florian Skopik, Markus Wurzenberger
Alfvén wave propagation in the partially ionized lower solar atmosphere: a test of the single-fluid approximation
Alfvén waves are widely believed to play an important role in the transport of energy from the solar photosphere to the corona through the partially ionized chromosphere. In previous work, the prop...
Roberto Soler
CodeTaste: Can LLMs Generate Human-Level Code Refactorings?
Large language model (LLM) coding agents can generate working code, but their solutions often accumulate complexity, duplication, and architectural debt. Human developers address such issues throug...
Alex Thillen, Niels Mündler, Veselin Raychev, Martin Vechev
Scalable Join Inference for Large Context Graphs
Context graphs are essential for modern AI applications including question answering, pattern discovery, and data analysis. Building accurate context graphs from structured databases requires infer...
Shivani Tripathi, Ravi Shetye, Shi Qiao, Alekh Jindal
OMNIINTENT: A Trusted Intent-Centric Framework for User-Friendly Web3
The increasingly complex Web3 ecosystem and decentralized finance (DeFi) landscape demand ever higher levels of technical expertise and financial literacy from participants. The Intent-Centric para...
Zhuoran Pan, Yue Li, Zhi Guan, Jianbin Hu, Zhong Chen
Traces of Social Competence in Large Language Models
The False Belief Test (FBT) has been the main method for assessing Theory of Mind (ToM) and related socio-cognitive competencies. For Large Language Models (LLMs), the reliability and explanatory p...
Tom Kouwenhoven, Michiel van der Meer, Max van Duijn
A Non-Abelian Approach to Riemann Surfaces
We develop a non-abelian, gauge-theoretic framework for the Schwarzian derivative and for second-order differential equations on Riemann surfaces. As applications, we extend Dedekind's Schwarzian a...
Mehrzad Ajoodanian
A Multi-Agent Framework for Interpreting Multivariate Physiological Time Series
Continuous physiological monitoring is central to emergency care, yet deploying trustworthy AI is challenging. While LLMs can translate complex physiological signals into clinical narratives, it is...
Davide Gabrielli, Paola Velardi, Stefano Faralli, Bardh Prenkaj
Precise measurement of the form factors in $D^0\rightarrow K^*(892)^-\ell^+ν_{\ell}$ and observation of $D^0\rightarrow K_2^*(1430)^-\ell^+ν_{\ell}$
We report a study of the semileptonic decays $D^0 \rightarrow \bar{K}^0π^-\ell^+ν_{\ell}$ (where $\ell=e,~μ$) based on a sample of $20.3~\mathrm{fb}^{-1}$ of $e^+e^-$ annihilation data collected at...
BESIII Collaboration, M. Ablikim, M. N. Achasov, P. Adlarson, X. C. Ai, R. Aliberti, A. Amoroso,...
Unbiased Dynamic Pruning for Efficient Group-Based Policy Optimization
Group Relative Policy Optimization (GRPO) effectively scales LLM reasoning but incurs prohibitive computational costs due to its extensive group-based sampling requirement. While recent selective d...
Haodong Zhu, Yangyang Ren, Yanjing Li, Mingbao Lin, Linlin Yang, Xuhui Liu, Xiantong Zhen, Haigua...