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AI & Data Science Preprint PDF

From Stochastic to Deterministic: A Multi-Criteria Decision Analysis Framework for Bounded Semantic Parsing in AI-Driven Recruitment Screening

A. H. Syed ยท 2026

The tension between automation and accuracy sits at the heart of modern talent acquisition. Recruiters need swiftness. Organisations need secure, auditable decisions. And candidatesโ€”often talented indโ€ฆ

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Computer Science Preprint PDF DOI

FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption

Yanting Wang, Chenlong Yin, Ying Chen, Jinyuan Jia ยท 2026

Long-context large language models (LLMs)-for example, Gemini-3.1-Pro and Qwen-3.5-are widely used to empower many real-world applications, such as retrieval-augmented generation, autonomous agents, aโ€ฆ

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Engineering Preprint PDF DOI

LiDAR-based Dynamic Blockage Prediction: A Data-driven Approach for Learning Interactive Bayesian Models

Saleemullah Memon, Ali Krayani, Pamela Zontone, Lucio Marcenaro, David Martin Gomez, Carlo Regazzoni ยท 2026

Vehicular sensing-based intelligence has made substantial progress in transportation systems, leading to higher levels of safety and sustainability for smart cities and autonomous systems. This paper โ€ฆ

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AI & Data Science Preprint PDF DOI

GUI Agents with Reinforcement Learning: Toward Digital Inhabitants

Junan Hu, Jian Liu, Jingxiang Lai, Jiarui Hu, Yiwei Sheng, Shuang Chen, Jian Li, Dazhao Du, Song Guo ยท 2026

Graphical User Interface (GUI) agents have emerged as a promising paradigm for intelligent systems that perceive and interact with graphical interfaces visually. Yet supervised fine-tuning alone cannoโ€ฆ

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AI & Data Science Preprint PDF DOI

Calibrating Attribution Proxies for Reward Allocation in Participatory Weather Sensing

Mark C. Ballandies, Michael T. C. Chiu, Claudio J. Tessone ยท 2026

Large-scale IoT weather sensing networks require incentive mechanisms to sustain participation, yet determining how much value individual data contributions bring to the network remains an open probleโ€ฆ

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AI & Data Science Preprint PDF DOI

Taming the Centaur(s) with LAPITHS: a framework for a theoretically grounded interpretation of AI performances

Matteo Da Pelo, Alessio Donvito, Claudio Frongia, Pietro Salis, Antonio Lieto ยท 2026

We introduce a framework called LAPITHS (Language model Analysis through Paradigm grounded Interpretations of Theses about Human likenesS) and use it to show that several major claims advanced by modeโ€ฆ

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Physics Preprint PDF DOI

Discrete Lattice Models for Interface Growth on a Complete Graph

J. M. Marcos, J. J. Melendez, R. Cuerno, J. J. Ruiz-Lorenzo ยท 2026

We investigate the behavior of discrete interface growth models belonging to the Edwards--Wilkinson (EW) and Kardar--Parisi--Zhang (KPZ) universality classes, when defined on a complete graph, a topolโ€ฆ

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Mathematics Preprint PDF DOI

Decoupled Descent: Exact Test Error Tracking Via Approximate Message Passing

Max Lovig ยท 2026

In modern parametric model training, full-batch gradient descent (and its variants) suffers due to progressively stronger biasing towards the exact realization of training data; this drives the systemโ€ฆ

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AI & Data Science Preprint PDF DOI

Building Persona-Based Agents On Demand: Tailoring Multi-Agent Workflows to User Needs

Giuseppe Arbore, Andrea Sillano, Luigi De Russis ยท 2026

Recent advances in agentic AI are shifting automation from discrete tools to proactive multi-agent systems that coordinate multi-specialized capabilities behind unified interfaces. However, today's agโ€ฆ

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Computer Science Preprint PDF DOI

D-Rex : Diffusion Rendering for Relightable Expressive Avatars

Timo Teufel, Xilong Zhou, Umar Iqbal, Jan Kautz, Marc Habermann, Vladislav Golyanik, Christian Theobalt ยท 2026

We present D-Rex, a person-specific framework for photorealistic, relightable, expressive, and animatable full-body human avatars with free-viewpoint rendering. Existing methods for relightable full-bโ€ฆ

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AI & Data Science Preprint PDF DOI

Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning

Yuhua Wang, Qinnan Zhang, Xiaodong Li, Huan Zhang, Yifan Sun, Wangjie Qiu, Hainan Zhang, Yongxin Tong, Zhiming Zheng ยท 2026

Prototype-based Personalized Federated Learning (ProtoPFL) enables efficient multi-domain adaptation by communicating compact class prototypes, but directly sharing them poses privacy risks. A common โ€ฆ

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AI & Data Science Preprint PDF DOI

Focus Session: Autonomous Systems Dependability in the era of AI: Design Challenges in Safety, Security, Reliability and Certification

Behnaz Ranjbar, Kirankumar Raveendiran, Sudeep Pasricha, Samarjit Chakraborty, Cecilia Carbonelli, Akash Kumar ยท 2026

The design of embedded safety-critical systems such as those used in next-generation automotive and autonomous platforms, is increasingly challenged by escalating system complexity, hardware-software โ€ฆ

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Sociology & Anthropology Preprint PDF DOI

Crowd Dynamics in Historical Perspective: Reframing the Amritsar Massacre through Agent-Based Modelling and Social Psychology

Mohcine Chraibi, Krisztina Konya, Ezel Usten ยท 2026

Crowds have long held a paradoxical place in the human imagination, feared for their destructive potential yet essential for collective expression. This tension was tragically manifested in the 1919 Jโ€ฆ

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AI & Data Science Preprint PDF DOI

A generalised pre-training strategy for deep learning networks in semantic segmentation of remotely sensed images

Yuan Fang, Yuanzhi Cai, Jagannath Aryal, Qinfeng Zhu, Hong Huang, Cheng Zhang, Lei Fan ยท 2026

In the segmentation of remotely sensed images, deep learning models are typically pre-trained using large image databases like ImageNet before fine-tuned on domain-specific datasets. However, the perfโ€ฆ

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Economics & Finance Preprint PDF DOI

The Satoshi Overhang: Why the Bear Case is Bounded

Karl T. Ulrich ยท 2026

Renewed public attention on the identity of Bitcoin's pseudonymous creator has sharpened focus on the Satoshi overhang, commonly framed as a tail risk for bitcoin. This paper argues that the mechanicaโ€ฆ

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Mathematics Preprint PDF DOI

Families of Shape-Wilf-Equivalent Claw-Shaped Partially Ordered Patterns

Sucharita Biswas ยท 2026

Partially ordered patterns (POPs) generalize classical permutation patterns and have been extensively studied in the contexts of permutations, words, compositions, and partitions. Burstein, Han, Kitaeโ€ฆ

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Physics Preprint PDF DOI

Parametrically Driven iSWAP Gate Using a Capacitively Shunted Double-Transmon Coupler at the Zero-Flux Sweet Spot

Shinichi Inoue, Rui Li, Kentaro Kubo, Yinghao Ho, Yasunobu Nakamura, Hayato Goto ยท 2026

A double-transmon coupler (DTC) enables a fast, high-fidelity CZ gate between two highly detuned, fixed-frequency transmon qubits. Moreover, a recently proposed capacitively shunted DTC (CSDTC) realizโ€ฆ

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AI & Data Science Preprint PDF DOI

Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behavior

Ali Aghazadeh Ardebili, Massimo Stella ยท 2026

Large Language Models (LLMs) can strongly shape social discourse, yet datasets investigating how LLM outputs vary across controlled social and contextual prompting remain sparse. Cognitive Digital Shaโ€ฆ

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Computer Science Preprint PDF DOI

One Pass, Any Order: Position-Invariant Listwise Reranking for LLM-Based Recommendation

Ethan Bito, Yongli Ren, Estrid He ยท 2026

Large language models (LLMs) are increasingly used for recommendation reranking, but their listwise predictions can depend on the order in which candidates are presented. This creates a mismatch betweโ€ฆ

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AI & Data Science Preprint PDF DOI

SpatialGrammar: A Domain-Specific Language for LLM-Based 3D Indoor Scene Generation

Song Tang, Kaiyong Zhao, Yuliang Li, Qingsong Yan, Penglei Sun, Junyi Zou, Qiang Wang, Xiaowen Chu ยท 2026

Automatically generating interactive 3D indoor scenes from natural language is crucial for virtual reality, gaming, and embodied AI. However, existing LLM-based approaches often suffer from spatial erโ€ฆ

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