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AI & Data Science Preprint PDF DOI

Ease of dependency distance minimization in star-like structures

Emilia Garcia-Casademont, Ramon Ferrer-i-Cancho · 2026

The syntactic structure of a sentence can be represented as a tree where edges indicate syntactic dependencies between words. When that structure is a star, it has been demonstrated that the head shou…

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AI & Data Science Preprint PDF DOI

Echo-{\alpha}: Large Agentic Multimodal Reasoning Model for Ultrasound Interpretation

Jing Zhang, Wentao Jiang, Tao Huang, Zhiwei Wang, Jianxin Liu, Jian Chen, Ping Ye, Gang Wang, Zengmao Wang, Bo Du, Dacheng Tao · 2026

Ultrasound interpretation requires both precise lesion localization and holistic clinical reasoning, yet existing methods typically excel at only one of these capabilities: specialized detectors offer…

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AI & Data Science Preprint PDF DOI

Dynamic Scaled Gradient Descent for Stable Fine-Tuning for Classifications

Nghia Bui, Lijing Wang · 2026

Fine-tuning pretrained models has become a standard approach to adapting pretrained knowledge to improve the accuracy on new sparse, imbalance datasets. However, issues arise when optimization falls i…

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Computer Science Preprint PDF DOI

On Higher-Order Probabilistic Verification via the Weighted Relational Model of Linear Logic

Ugo Dal Lago, Guido Fiorillo, Paolo Pistone · 2026

The problem of determining whether a probabilistic program terminates almost surely (i.e.~with probability one) is undecidable, and actually $\Pi^0_2$-complete. For this reason, a growing literature h…

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AI & Data Science Preprint PDF DOI

FineState-Bench: Benchmarking State-Conditioned Grounding for Fine-grained GUI State Setting

Fengxian Ji, Jingpu Yang, Zirui Song, Yuanxi Wang, Zhexuan Cui, Yuke Li, Qian Jiang, Xiuying Chen · 2026

Despite the rapid progress of large vision-language models (LVLMs), fine-grained, state-conditioned GUI interaction remains challenging. Current evaluations offer limited coverage, imprecise target-st…

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AI & Data Science Preprint PDF DOI

Simulating clinical interventions with a generative multimodal model of human physiology

Guy Lutsker, Gal Sapir, Jordi Merino, Smadar Shilo, Anastasia Godneva, Eli Meirom, Shie Mannor, Hagai Rossman, Gal Chechik, Eran Segal · 2026

Understanding how human health changes over time, and why responses to interventions vary between individuals, remains a central challenge in medicine. Here we present HealthFormer, a decoder-only tra…

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AI & Data Science Preprint PDF DOI

KellyBench: A Benchmark for Long-Horizon Sequential Decision Making

Thomas Grady, Kip Parker, Iliyan Zarov, Henry Course, Chengxi Taylor, Ross Taylor · 2026

Language models are saturating benchmarks for procedural tasks with narrow objectives. But they are increasingly being deployed in long-horizon, non-stationary environments with open-ended goals. In t…

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AI & Data Science Preprint PDF DOI

Reasoning over Object Descriptions Improves Coreference Resolution in Task-Based Dialogue Systems

Oier Ijurco, Oier Lopez de Lacalle · 2026

Task-based dialogue systems assist users in achieving specific goals, such as executing actions or retrieving information, through natural language interactions. Accurate coreference resolution is ess…

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AI & Data Science Preprint PDF DOI

Hyper-Dimensional Fingerprints as Molecular Representations

Jonas Teufel, Luca Torresi, Andre Eberhard, Pascal Friederich · 2026

Computational molecular representations underpin virtual screening, property prediction, and materials discovery. Conventional fingerprints are efficient and deterministic but lose structural informat…

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AI & Data Science Preprint PDF DOI

Learning to Reason: Targeted Knowledge Discovery and Fuzzy Logic Update for Robust Image Recognition

Gurucharan Srinivas, Joshua Niemeijer, Frank Koster · 2026

Integrating domain knowledge into deep neural networks is a promising way to improve generalization. Existing methods either encode prior knowledge in the loss function or apply post-processing module…

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AI & Data Science Preprint PDF DOI

From Context to Skills: Can Language Models Learn from Context Skillfully?

Shuzheng Si, Haozhe Zhao, Yu Lei, Qingyi Wang, Dingwei Chen, Zhitong Wang, Zhenhailong Wang, Kangyang Luo, Zheng Wang, Gang Chen, Fanchao Qi, Minjia Zhang, Maosong Sun · 2026

Many real-world tasks require language models (LMs) to reason over complex contexts that exceed their parametric knowledge. This calls for context learning, where LMs directly learn relevant knowledge…

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AI & Data Science Preprint PDF DOI

Math Education Digital Shadows for facilitating learning with LLMs: Math performance, anxiety and confidence in simulated students and AIs

Naomi Esposito, Anthony Tricarico, Luisa Porzio, Ali Aghazadeh Ardebili, Massimo Stella · 2026

To enhance LLMs' impact on math education, we need data on their mathematical prowess and biases across prompts. To fill this gap, we introduce MEDS (Math Education Digital Shadows) as a dataset mappi…

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Mathematics Preprint PDF DOI

Fibonacci numbers and the probability of polygon formation using random length sticks

Mark Brennana, Noah Callow, Tian Cao Lin · 2026

We present two complementary proofs that, if the lengths of $n$ sticks are sampled at random, then the probability that no $p+1$ sticks can form a $(p+1)$-sided polygon can be expressed as the product…

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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 · 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 er…

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Computer Science Preprint PDF DOI

From Elastic to Viscoelastic: An EEMD-Enhanced Pulse Transit Time Model for Robust Blood Pressure Estimation

Boyuan Gu, Yijin Yang, Shuaiqi Cheng, Xiaorong Ding · 2026

Cuffless blood pressure (BP) estimation based on Pulse Transit Time (PTT) has emerged as a promising solution for continuous health monitoring. However, conventional models relying on the Moens-Kortew…

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AI & Data Science Preprint PDF DOI

COHERENCE: Benchmarking Fine-Grained Image-Text Alignment in Interleaved Multimodal Contexts

Bingli Wang, Huanze Tang, Haijun Lv, Zhishan Lin, Lixin Gu, Lei Feng, Qipeng Guo, Kai Chen · 2026

In recent years, Multimodal Large Language Models (MLLMs) have achieved remarkable progress on a wide range of multimodal benchmarks. Despite these advances, most existing benchmarks mainly focus on s…

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AI & Data Science Preprint PDF DOI

Mechanized Foundations of Structural Governance: Machine-Checked Proofs for Governed Intelligence

Alan L. McCann · 2026

We present five results in the theory of structural governance for cognitive workflow systems. Three are mechanized in Coq 8.19 using the Interaction Trees library with parameterized coinduction; two …

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Engineering Preprint PDF DOI

Real-Time GPU-Accelerated Monte Carlo Evaluation of Safety-Critical AEB Systems Under Uncertainty

Akshay Karjol, Shadi Alawneh · 2026

Automatic Emergency Braking (AEB) systems represent a safety-critical national interest, with the National Highway Traffic Safety Administration (NHTSA) Federal Motor Vehicle Safety Standard (FMVSS No…

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Engineering Preprint PDF DOI

The Field of Safe Motion: Operationalizing Affordances in the Field of Safe Travel Using Reachability Analysis

Leif Johnson, Trent Victor, Johan Engstrom · 2026

We present the Field of Safe Motion (FSM), a quantitative safety model for determining whether a driver maintains a collision-free escape route, or "out," at any given moment by accounting for that dr…

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AI & Data Science Preprint PDF DOI

Lightweight Distillation of SAM 3 and DINOv3 for Edge-Deployable Individual-Level Livestock Monitoring and Longitudinal Visual Analytics

Haiyu Yang, Miel Hostens · 2026

Foundation-model pipelines for individual-level livestock monitoring -- combining open-vocabulary detection, promptable video segmentation, and self-supervised visual embeddings -- have raised the acc…

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