Papers
Research papers from arXiv and related sources
Pairwise Negative Correlation for Uniform Spanning Subgraphs of the Complete Graph
We investigate the pairwise negative correlation (p-NC) property for uniform probability measures on several families of spanning subgraphs of the complete graph $K_n$. Motivated by conjectured neg...
Pengfei Tang, Zibo Zhang
CacheSolidarity: Preventing Prefix Caching Side Channels in Multi-tenant LLM Serving Systems
Large Language Models (LLMs) rely on optimizations like Automatic Prefix Caching (APC) to accelerate inference. APC works by reusing previously computed states for the beginning part of a request (...
Panagiotis Georgios Pennas, Konstantinos Papaioannou, Marco Guarnieri, Thaleia Dimitra Doudali
Probabilistic Verification of Voice Anti-Spoofing Models
Recent advances in generative models have amplified the risk of malicious misuse of speech synthesis technologies, enabling adversaries to impersonate target speakers and access sensitive resources...
Evgeny Kushnir, Alexandr Kozodaev, Dmitrii Korzh, Mikhail Pautov, Oleg Kiriukhin, Oleg Y. Rogov
Believing vs. Achieving -- The Disconnect between Efficacy Beliefs and Collaborative Outcomes
As artificial intelligence (AI) becomes increasingly integrated into workflows, humans must decide when to rely on AI advice. These decisions depend on general efficacy beliefs, i.e., humans' confi...
Philipp Spitzer, Joshua Holstein
Hybrid Photonic Quantum Reservoir Computing for High-Dimensional Financial Surface Prediction
We propose a hybrid photonic quantum reservoir computing (QRC) framework for swaption surface prediction. The pipeline compresses 224-dimensional surfaces to a 20-dimensional latent space via a spa...
Fyodor Amanov, Azamkhon Azamov
Thermodynamic Non-Uniformities Behind Incident and Reflected Shocks in a Single-Diaphragm Shock Tube
Shock tubes provide well-controlled high-temperature and high-pressure conditions for chemical kinetics studies, yet the region behind the reflected shock is seldom perfectly homogeneous. Axial and...
Touqeer Anwar Kashif, Janardhanraj Subburaj, Aamir Farooq
Prism-$Δ$: Differential Subspace Steering for Prompt Highlighting in Large Language Models
Prompt highlighting steers a large language model to prioritize user-specified text spans during generation. A key challenge is extracting steering directions that capture the difference between re...
Yuyao Ge, Shenghua Liu, Yiwei Wang, Tianyu Liu, Baolong Bi, Lingrui Mei, Jiayu Yao, Jiafeng Guo, ...
Structured Linked Data as a Memory Layer for Agent-Orchestrated Retrieval
Retrieval-Augmented Generation (RAG) systems typically treat documents as flat text, ignoring the structured metadata and linked relationships that knowledge graphs provide. In this paper, we inves...
Andrea Volpini, Elie Raad, Beatrice Gamba, David Riccitelli
EvoSchema: Towards Text-to-SQL Robustness Against Schema Evolution
Neural text-to-SQL models, which translate natural language questions (NLQs) into SQL queries given a database schema, have achieved remarkable performance. However, database schemas frequently evo...
Tianshu Zhang, Kun Qian, Siddhartha Sahai, Yuan Tian, Shaddy Garg, Huan Sun, Yunyao Li
RandMark: On Random Watermarking of Visual Foundation Models
Being trained on large and diverse datasets, visual foundation models (VFMs) can be fine-tuned to achieve remarkable performance and efficiency in various downstream computer vision tasks. The high...
Anna Chistyakova, Mikhail Pautov
Repurposing Backdoors for Good: Ephemeral Intrinsic Proofs for Verifiable Aggregation in Cross-silo Federated Learning
While Secure Aggregation (SA) protects update confidentiality in Cross-silo Federated Learning, it fails to guarantee aggregation integrity, allowing malicious servers to silently omit or tamper wi...
Xian Qin, Xue Yang, Xiaohu Tang
Contract And Conquer: How to Provably Compute Adversarial Examples for a Black-Box Model?
Black-box adversarial attacks are widely used as tools to test the robustness of deep neural networks against malicious perturbations of input data aimed at a specific change in the output of the m...
Anna Chistyakova, Mikhail Pautov
Investigations of Heterogeneity in Diagnostic Test Accuracy Meta-Analysis: A Methodological Review
Background: Subgroup analyses and meta-regression are commonly used to investigate heterogeneity in diagnostic test accuracy (DTA) meta-analyses (MA), but adherence to methodological guidance is un...
Lukas Mischinger, Angela Ernst, Bernhard Haller, Alexey Formenko, Zekeriya Aktuerk, Alexander Hap...
A Platform-Agnostic Multimodal Digital Human Modelling Framework: Neurophysiological Sensing in Game-Based Interaction
Digital Human Modelling (DHM) is increasingly shaped by advances in AI, wearable biosensing, and interactive digital environments, particularly in research addressing accessibility and inclusion. H...
Daniel J. Buxton, Mufti Mahmud, Jordan J. Bird, Thomas Hughes-Roberts, David J. Brown
From Education to Evidence: A Collaborative Practice Research Platform for AI-Integrated Agile Development
Agile software development evolves so rapidly that research struggles to remain timely and transferable - an issue heightened by the swift adoption of generative AI and agentic tools. Earlier discu...
Tobias Geger, Andreas Rausch, Ina Schiering, Frauke Stenzel, Stefan Wittek
Surrogate models for nuclear fusion with parametric Shallow Recurrent Decoder Networks: applications to magnetohydrodynamics
Magnetohydrodynamic (MHD) effects play a key role in the design and operation of nuclear fusion systems, where electrically conducting fluids (such as liquid metals or molten salts in reactor blank...
M. Lo Verso, C. Introini, E. Cervi, L. Savoldi, J. N. Kutz, A. Cammi
Emulating Clinician Cognition via Self-Evolving Deep Clinical Research
Clinical diagnosis is a complex cognitive process, grounded in dynamic cue acquisition and continuous expertise accumulation. Yet most current artificial intelligence (AI) systems are misaligned wi...
Ruiyang Ren, Yuhao Wang, Yunsen Liang, Lan Luo, Jing Liu, Haifeng Wang, Cong Feng, Yinan Zhang, C...
Conformal prediction for high-dimensional functional time series: Applications to subnational mortality
In statistics, forecast uncertainty is often quantified using a specified statistical model, though such approaches may be vulnerable to model misspecification, selection bias, and limited finite-s...
Han Lin Shang
Breaking User-Centric Agency: A Tri-Party Framework for Agent-Based Recommendation
Recent advances in large language models (LLMs) have stimulated growing interest in agent-based recommender systems, enabling language-driven interaction and reasoning for more expressive preferenc...
Yaxin Gong, Chongming Gao, Chenxiao Fan, Wenjie Wang, Fuli Feng, Xiangnan He
Terminal Is All You Need: Design Properties for Human-AI Agent Collaboration
While research on AI agents focuses on enabling them to operate graphical user interfaces, the most effective and widely adopted agent tools in practice are terminal-based. We argue that this conve...
Alexandre De Masi