Papers
Research papers from arXiv and related sources
Performance and Experimental Analysis of Strain-based Models for Continuum Robots
Although strain-based models have been widely adopted in robotics, no comparison beyond the uniform bending test is commonly recognized to assess their performance. In addition, the increasing effo...
Annika Delucchi, Vincenzo Di Paola, Andreas Müller, and Matteo Zoppi
MEDNA-DFM: A Dual-View FiLM-MoE Model for Explainable DNA Methylation Prediction
Accurate computational identification of DNA methylation is essential for understanding epigenetic regulation. Although deep learning excels in this binary classification task, its "black-box" natu...
Yi He, Yina Cao, Jixiu Zhai, Di Wang, Junxiao Kong, Tianchi Lu
Testing beyond the Standard Model scenarios in next-generation long-baseline neutrino oscillation experiments
In this thesis, we assess the sensitivity of next-generation long-baseline neutrino oscillation experiments, DUNE, T2HK, and T2HKK, to three popular beyond the Standard Model (BSM) scenarios. Withi...
Pragyanprasu Swain
Improving Neural Argumentative Stance Classification in Controversial Topics with Emotion-Lexicon Features
Argumentation mining comprises several subtasks, among which stance classification focuses on identifying the standpoint expressed in an argumentative text toward a specific target topic. While arg...
Mohammad Yeghaneh Abkenar, Weixing Wang, Manfred Stede, Davide Picca, Mark A. Finlayson, Panagiot...
The AI Research Assistant: Promise, Peril, and a Proof of Concept
Can artificial intelligence truly contribute to creative mathematical research, or does it merely automate routine calculations while introducing risks of error? We provide empirical evidence throu...
Tan Bui-Thanh
Endogenous Poverty Traps in Continuous Time: A Signaling Approach
This paper embeds a signaling friction into the continuous-time heterogeneous agent framework. A continuum of producers operate Cobb-Douglas technologies with regime-specific productivity $A_j \in ...
Massimo Giannini
First measurement of the strong interaction scattering parameters for the $\mathbf{K^-d}$ and $\mathbf{K^+d}$ systems
Charged kaon--deuteron interactions offer a sensitive probe of the strangeness sector of QCD at low energy, particularly through their scattering parameters. Despite available theoretical predictio...
ALICE Collaboration
Moral Preferences of LLMs Under Directed Contextual Influence
Moral benchmarks for LLMs typically use context-free prompts, implicitly assuming stable preferences. In deployment, however, prompts routinely include contextual signals such as user requests, cue...
Phil Blandfort, Tushar Karayil, Urja Pawar, Robert Graham, Alex McKenzie, Dmitrii Krasheninnikov
Reflectance Multispectral Imaging for Soil Composition Estimation and USDA Texture Classification
Soil texture is a foundational attribute that governs water availability and erosion in agriculture, as well as load bearing capacity, deformation response, and shrink-swell risk in geotechnical en...
G. A. S. L Ranasinghe, J. A. S. T. Jayakody, M. C. L. De Silva, G. Thilakarathne, G. M. R. I. God...
TCM-DiffRAG: Personalized Syndrome Differentiation Reasoning Method for Traditional Chinese Medicine based on Knowledge Graph and Chain of Thought
Background: Retrieval augmented generation (RAG) technology can empower large language models (LLMs) to generate more accurate, professional, and timely responses without fine tuning. However, due ...
Jianmin Li, Ying Chang, Su-Kit Tang, Yujia Liu, Yanwen Wang, Shuyuan Lin, Binkai Ou
TARAZ: Persian Short-Answer Question Benchmark for Cultural Evaluation of Language Models
This paper presents a comprehensive evaluation framework for assessing the cultural competence of large language models (LLMs) in Persian. Existing Persian cultural benchmarks rely predominantly on...
Reihaneh Iranmanesh, Saeedeh Davoudi, Pasha Abrishamchian, Ophir Frieder, Nazli Goharian
A robust method to reach the motional quantum regime of (anti-)protons in cryogenic multi-Penning traps
Sympathetic laser cooling is a key concept in precision spectroscopy and quantum state control of charged particles. Significant challenges arise in the metrologically relevant case where the effec...
Nikita Poljakov, Jan Schaper, Julia-Aileen Coenders, Philipp Luca Hoffmann, Juan Manuel Cornejo, ...
Face Time Traveller : Travel Through Ages Without Losing Identity
Face aging, an ill-posed problem shaped by environmental and genetic factors, is vital in entertainment, forensics, and digital archiving, where realistic age transformations must preserve both ide...
Purbayan Kar, Ayush Ghadiya, Vishal Chudasama, Pankaj Wasnik, C. V. Jawahar
When Should an AI Act? A Human-Centered Model of Scene, Context, and Behavior for Agentic AI Design
Agentic AI increasingly intervenes proactively by inferring users' situations from contextual data yet often fails for lack of principled judgment about when, why, and whether to act. We address th...
Soyoung Jung, Daehoo Yoon, Sung Gyu Koh, Young Hwan Kim, Yehan Ahn, Sung Park
Accelerating Local LLMs on Resource-Constrained Edge Devices via Distributed Prompt Caching
Since local LLM inference on resource-constrained edge devices imposes a severe performance bottleneck, this paper proposes distributed prompt caching to enhance inference performance by cooperativ...
Hiroki Matsutani, Naoki Matsuda, Naoto Sugiura
PhotoAgent: Agentic Photo Editing with Exploratory Visual Aesthetic Planning
With the recent fast development of generative models, instruction-based image editing has shown great potential in generating high-quality images. However, the quality of editing highly depends on...
Mingde Yao, Zhiyuan You, Tam-King Man, Menglu Wang, Tianfan Xue
MiroFlow: Towards High-Performance and Robust Open-Source Agent Framework for General Deep Research Tasks
Despite the remarkable progress of large language models (LLMs), the capabilities of standalone LLMs have begun to plateau when tackling real-world, complex tasks that require interaction with exte...
Shiqian Su, Sen Xing, Xuan Dong, Muyan Zhong, Bin Wang, Xizhou Zhu, Yuntao Chen, Wenhai Wang, Yue...
Full Single-Quantum Control of Particles in Penning Traps for Symmetry Tests at the Quantum Limit
The BASE collaboration aims to measure antimatter systems with the highest precision in order to perform a rigorous test of CPT symmetry and search for physics beyond the Standard Model. As part of...
J. M. Cornejo, J. -A. Coenders, A. Lissel, N. Poljakov, M. Prasse, Y. Priewich, J. Schaper, M. Sc...
Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving
Diffusion models have become a popular choice for decision-making tasks in robotics, and more recently, are also being considered for solving autonomous driving tasks. However, their applications a...
Yinan Zheng, Tianyi Tan, Bin Huang, Enguang Liu, Ruiming Liang, Jianlin Zhang, Jianwei Cui, Guang...
Natural Language Declarative Prompting (NLD-P): A Modular Governance Method for Prompt Design Under Model Drift
The rapid evolution of large language models (LLMs) has transformed prompt engineering from a localized craft into a systems-level governance challenge. As models scale and update across generation...
Hyunwoo Kim, Hanau Yi, Jaehee Bae, Yumin Kim