Papers
Research papers from arXiv and related sources
Resource-Efficient Iterative LLM-Based NAS with Feedback Memory
Neural Architecture Search (NAS) automates network design, but conventional methods demand substantial computational resources. We propose a closed-loop pipeline leveraging large language models (L...
Xiaojie Gu, Dmitry Ignatov, Radu Timofte
EmbTracker: Traceable Black-box Watermarking for Federated Language Models
Federated Language Model (FedLM) allows a collaborative learning without sharing raw data, yet it introduces a critical vulnerability, as every untrustworthy client may leak the received functional...
Haodong Zhao, Jinming Hu, Yijie Bai, Tian Dong, Wei Du, Zhuosheng Zhang, Yanjiao Chen, Haojin Zhu...
Direct Boltzmann inversion method from particle configurations at arbitrary state points
We introduce a direct Boltzmann inversion method to infer the interaction potential in particle systems using as input particle configurations generated at an arbitrary state point of the system. U...
Olivier Coquand, Davide Paolino, Ludovic Berthier
Paper Title: LoV3D: Grounding Cognitive Prognosis Reasoning in Longitudinal 3D Brain MRI via Regional Volume Assessments
Longitudinal brain MRI is essential for characterizing the progression of neurological diseases such as Alzheimer's disease assessment. However, current deep-learning tools fragment this process: c...
Zhaoyang Jiang, Zhizhong Fu, David McAllister, Yunsoo Kim, Honghan Wu
Numerical benchmark for damage identification in Structural Health Monitoring
The availability of a dataset for validation and verification purposes of novel data-driven strategies and/or hybrid physics-data approaches is currently one of the most pressing challenges in the ...
Francesca Marafini, Giacomo Zini, Alberto Barontini, Nuno Mendes, Alice Cicirello, Michele Betti,...
Translationese as a Rational Response to Translation Task Difficulty
Translations systematically diverge from texts originally produced in the target language, a phenomenon widely referred to as translationese. Translationese has been attributed to production tenden...
Maria Kunilovskaya
Compactifying the Electronic Wavefunction II: Quantum Estimators for Spin-Coupled Generalized Valence Bond Wavefunctions
We present a measurement-driven quantum framework for evaluating overlap and Hamiltonian matrix elements in spin-coupled generalized valence bond (SCGVB) wavefunctions. The approach targets a centr...
Bruna Gabrielly
HPC Containers for EBRAINS: Towards Portable Cross-Domain Software Environment
Deploying complex, distributed scientific workflows across diverse HPC sites is often hindered by site-specific dependencies and complex build environments. This paper investigates the design and p...
Krishna Kant Singh, Eric Müller, Eleni Mathioulaki, Wouter Klijn, Lena Oden
Assessing the robustness of amortized simulation-based inference to transient noise in gravitational-wave ringdowns
Gravitational waves (GW) emitted by binary systems allow us to perform precision tests of general relativity in the strong field regime. Ringdown signals allow for probing black hole mass and spin ...
Song-Tao Liu, Tian-Yang Sun, Yu-Xin Wang, Yong-Xin Zhang, Shang-Jie Jin, Jing-Fei Zhang, Xin Zhang
Fluid-Structure interactions with Navier- and full-slip boundary conditions
We show the existence of weak solutions to the fluid-structure interaction problem of a largely deforming viscoelastic bulk solid with a viscous fluid governed by the incompressible Navier-Stokes e...
Antonín Češík, Malte Kampschulte, Sebastian Schwarzacher
Cascade: Composing Software-Hardware Attack Gadgets for Adversarial Threat Amplification in Compound AI Systems
Rapid progress in generative AI has given rise to Compound AI systems - pipelines comprised of multiple large language models (LLM), software tools and database systems. Compound AI systems are con...
Sarbartha Banerjee, Prateek Sahu, Anjo Vahldiek-Oberwagner, Jose Sanchez Vicarte, Mohit Tiwari
Sim-to-reality adaptation for Deep Reinforcement Learning applied to an underwater docking application
Deep Reinforcement Learning (DRL) offers a robust alternative to traditional control methods for autonomous underwater docking, particularly in adapting to unpredictable environmental conditions. H...
Alaaeddine Chaarani, Narcis Palomeras, Pere Ridao
An Intent of Collaboration: On Agencies between Designers and Emerging (Intelligent) Technologies
Amidst the emergence of powerful intelligent technologies such as LLMs and text-to-image AIs that promise to enhance creative processes, designers face the challenges of remaining empowered and cre...
Pei-Ying Lin, Julie Heij, Iris Borst, Britt Joosten, Kristina Andersen, Wijnand IJsselsteijn
Thermodynamic Descriptors from Molecular Dynamics as Machine Learning Features for Extrapolable Property Prediction
Machine learning (ML) models which rely on molecular structure excel at predicting properties for well-represented organic compounds, however their limited ability to extrapolate to chemotypes outs...
Nuria H. Espejo, Pablo Llombart, Andrés González de Castilla, Jorge Ramirez, Jorge R. Espinosa, A...
Nyxus: A Next Generation Image Feature Extraction Library for the Big Data and AI Era
Modern imaging instruments can produce terabytes to petabytes of data for a single experiment. The biggest barrier to processing big image datasets has been computational, where image analysis algo...
Nicholas Schaub, Andriy Kharchenko, Hamdah Abbasi, Sameeul Samee, Hythem Sidky, Nathan Hotaling
Can RL Improve Generalization of LLM Agents? An Empirical Study
Reinforcement fine-tuning (RFT) has shown promise for training LLM agents to perform multi-turn decision-making based on environment feedback. However, most existing evaluations remain largely in-d...
Zhiheng Xi, Xin Guo, Jiaqi Liu, Jiazheng Zhang, Yutao Fan, Zhihao Zhang, Shichun Liu, Mingxu Chai...
Decentralized Orchestration Architecture for Fluid Computing: A Secure Distributed AI Use Case
Distributed AI and IoT applications increasingly execute across heterogeneous resources spanning end devices, edge/fog infrastructure, and cloud platforms, often under different administrative doma...
Diego Cajaraville-Aboy, Ana Fernández-Vilas, Rebeca P. Díaz-Redondo, Manuel Fernández-Veiga, Pabl...
Credibility Matters: Motivations, Characteristics, and Influence Mechanisms of Crypto Key Opinion Leaders
Crypto Key Opinion Leaders (KOLs) shape Web3 narratives and retail investment behaviour. In volatile, high-risk markets, their credibility becomes a key determinant of their influence on followers....
Alexander Kropiunig, Svetlana Kremer, Bernhard Haslhofer
BTZSC: A Benchmark for Zero-Shot Text Classification Across Cross-Encoders, Embedding Models, Rerankers and LLMs
Zero-shot text classification (ZSC) offers the promise of eliminating costly task-specific annotation by matching texts directly to human-readable label descriptions. While early approaches have pr...
Ilias Aarab
ConvScale: Conversational Interviews for Scale-Aligned Measurement
Conversational interviews are commonly used to complement structured surveys by eliciting rich and contextualized responses, which are typically analyzed qualitatively. However, their potential con...
Peinuan Qin, Jingzhu Chen, Yitian Yang, Han Meng, Zicheng Zhu, Yi-Chieh Lee