Papers
Research papers from arXiv and related sources
3D-printed Soft Optical sensor with a Lens (SOLen) for light guidance in mechanosensing
Additive manufacturing is enabling soft robots with increasingly complex geometries, creating a demand for sensing solutions that remain compatible with single-material, one-step fabrication. Optic...
Diana Cafiso, Petr Trunin, Carolina Gay, Lucia Beccai
A Privacy by Design Framework for Large Language Model-Based Applications for Children
Children are increasingly using technologies powered by Artificial Intelligence (AI). However, there are growing concerns about privacy risks, particularly for children. Although existing privacy r...
Diana Addae, Diana Rogachova, Nafiseh Kahani, Masoud Barati, Michael Christensen, Chen Zhou
Distributed Virtual Model Control for Scalable Human-Robot Collaboration in Shared Workspace
We present a decentralized, agent agnostic, and safety-aware control framework for human-robot collaboration based on Virtual Model Control (VMC). In our approach, both humans and robots are embedd...
Yi Zhang, Omar Faris, Chapa Sirithunge, Kai-Fung Chu, Fumiya Iida, Fulvio Forni
DAVE: A Policy-Enforcing LLM Spokesperson for Secure Multi-Document Data Sharing
In current inter-organizational data spaces, usage policies are enforced mainly at the asset level: a whole document or dataset is either shared or withheld. When only parts of a document are sensi...
René Brinkhege, Prahlad Menon
Improving LLM-based Recommendation with Self-Hard Negatives from Intermediate Layers
Large language models (LLMs) have shown great promise in recommender systems, where supervised fine-tuning (SFT) is commonly used for adaptation. Subsequent studies further introduce preference lea...
Bingqian Li, Bowen Zheng, Xiaolei Wang, Long Zhang, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao, Ji-...
Experimental certification of ensembles of high-dimensional quantum states with independent quantum devices
When increasing the dimensionality of quantum systems, high-dimensional quantum state certification becomes important in quantum information science and technology. However, how to certify ensemble...
Yong-Nan Sun, Meng-Yun Ma, Qi-Ping Su, Zhe Sun, Chui-Ping Yang, Franco Nori
Bluetooth Phased-array Aided Inertial Navigation Using Factor Graphs: Experimental Verification
Phased-array Bluetooth systems have emerged as a low-cost alternative for performing aided inertial navigation in GNSS-denied use cases such as warehouse logistics, drone landings, and autonomous d...
Glen Hjelmerud Mørkbak Sørensen, Torleiv H. Bryne, Kristoffer Gryte, Tor Arne Johansen
A Contrastive Variational AutoEncoder for NSCLC Survival Prediction with Missing Modalities
Predicting survival outcomes for non-small cell lung cancer (NSCLC) patients is challenging due to the different individual prognostic features. This task can benefit from the integration of whole-...
Michele Zanitti, Vanja Miskovic, Francesco Trovò, Alessandra Laura Giulia Pedrocchi, Ming Shen, Y...
Voice-Driven Semantic Perception for UAV-Assisted Emergency Networks
Unmanned Aerial Vehicle (UAV)-assisted networks are increasingly foreseen as a promising approach for emergency response, providing rapid, flexible, and resilient communications in environments whe...
Nuno Saavedra, Pedro Ribeiro, André Coelho, Rui Campos
DRetHTR: Linear-Time Decoder-Only Retentive Network for Handwritten Text Recognition
State-of-the-art handwritten text recognition (HTR) systems commonly use Transformers, whose growing key-value (KV) cache makes decoding slow and memory-intensive. We introduce DRetHTR, a decoder-o...
Changhun Kim, Martin Mayr, Thomas Gorges, Fei Wu, Mathias Seuret, Andreas Maier, Vincent Christlein
Visual Model Checking: Graph-Based Inference of Visual Routines for Image Retrieval
Information retrieval lies at the foundation of the modern digital industry. While natural language search has seen dramatic progress in recent years largely driven by embedding-based models and la...
Adrià Molina, Oriol Ramos Terrades, Josep Lladós
Insidious Imaginaries: A Critical Overview of AI Speculations
Speculative thinking about the capabilities and implications of artificial intelligence (AI) influences computer science research, drives AI industry practices, feeds academic studies of existentia...
Dejan Grba
The Role of the Availability Heuristic in Multiple-Choice Answering Behaviour
When students are unsure of the correct answer to a multiple-choice question (MCQ), guessing is common practice. The availability heuristic, proposed by A. Tversky and D. Kahneman in 1973, suggests...
Leonidas Zotos, Hedderik van Rijn, Malvina Nissim
RPDR: A Round-trip Prediction-Based Data Augmentation Framework for Long-Tail Question Answering
Long-tail question answering presents significant challenges for large language models (LLMs) due to their limited ability to acquire and accurately recall less common knowledge. Retrieval-augmente...
Yiming Zhang, Siyue Zhang, Junbo Zhao, Chen Zhao
Computer-Using World Model
Agents operating in complex software environments benefit from reasoning about the consequences of their actions, as even a single incorrect user interface (UI) operation can derail long, artifact-...
Yiming Guan, Rui Yu, John Zhang, Lu Wang, Chaoyun Zhang, Liqun Li, Bo Qiao, Si Qin, He Huang, Fan...
Astra: AI Safety, Trust, & Risk Assessment
This paper argues that existing global AI safety frameworks exhibit contextual blindness towards India's unique socio-technical landscape. With a population of 1.5 billion and a massive informal ec...
Pranav Aggarwal, Ananya Basotia, Debayan Gupta, Rahul Kulkarni, Shalini Kapoor, Kashyap J., A. Mu...
What Breaks Embodied AI Security:LLM Vulnerabilities, CPS Flaws,or Something Else?
Embodied AI systems (e.g., autonomous vehicles, service robots, and LLM-driven interactive agents) are rapidly transitioning from controlled environments to safety critical real-world deployments. ...
Boyang Ma, Hechuan Guo, Peizhuo Lv, Minghui Xu, Xuelong Dai, YeChao Zhang, Yijun Yang, Yue Zhang
From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection
Graph Out-of-Distribution (OOD) detection aims to identify whether a test graph deviates from the distribution of graphs observed during training, which is critical for ensuring the reliability of ...
Luzhi Wang, Xuanshuo Fu, He Zhang, Chuang Liu, Xiaobao Wang, Hongbo Liu
Detecting nonequilibrium phase transitions via continuous monitoring of space-time trajectories and autoencoder-based clustering
The characterization of collective behavior and nonequilibrium phase transitions in quantum systems is typically rooted in the analysis of suitable system observables, so-called order parameters. T...
Erik Fitzner, Francesco Carnazza, Federico Carollo, Igor Lesanovsky
PersonaMail: Learning and Adapting Personal Communication Preferences for Context-Aware Email Writing
LLM-assisted writing has seen rapid adoption in interpersonal communication, yet current systems often fail to capture the subtle tones essential for effectiveness. Email writing exemplifies this c...
Rui Yao, Qiuyuan Ren, Felicia Fang-Yi Tan, Chen Yang, Xiaoyu Zhang, Shengdong Zhao