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AI & Data Science Preprint PDF DOI

MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons

Kehong Gong, Zhengyu Wen, Dao Thien Phong, Mingxi Xu, Weixia He, Qi Wang, Ning Zhang, Zhengyu Li, Guanli Hou, Dongze Lian, Xiaoyu He, Mingyuan Zhang, Hanwang Zhang · 2026

Recent methods for arbitrary-skeleton motion capture from monocular video follow a factorized pipeline, where a Video-to-Pose network predicts joint positions and an analytical inverse-kinematics (IK)…

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AI & Data Science Preprint PDF DOI

From LLM-Driven Trading Card Generation to Procedural Relatedness: A Pok\'emon Case Study

Johannes Pfau, Panagiotis Vrettis · 2026

Since the dawn of Trading Card Games, the genre has grown into a multi-billion-dollar industry engaging millions of analog and digital players worldwide. Popular TCGs rely on regular updates, balance …

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Sociology & Anthropology Preprint PDF DOI

Clustering in co-evolving opinion dynamics: reduced SPDE models

Sebastian Zimper, Natasa Djurdjevac Conrad, Federico Cornalba, Ana Djurdjevac · 2026

Clustering is a fundamental collective phenomenon in agent-based models (ABMs) of opinion dynamics. To study clustering in systems with co-evolving social and opinion variables, we derive stochastic p…

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Physics Preprint PDF DOI

Unentangled stoquastic Merlin-Arthur proof systems: the power of unentanglement without destructive interference

Yupan Liu, Pei Wu · 2026

Stoquasticity, originating in sign-problem-free physical systems, gives rise to $\sf StoqMA$, introduced by Bravyi, Bessen, and Terhal (2006), a quantum-inspired intermediate class between $\sf MA$ an…

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Computer Science Preprint PDF DOI

A Monadic Implementation of Functional Logic Programs

Michael Hanus, Kai-Oliver Prott, Finn Teegen · 2026

Functional logic languages are a high-level approach to programming by combining the most important declarative features. They abstract from small-step operational details so that programmers can conc…

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Computer Science Preprint PDF DOI

ZipCCL: Efficient Lossless Data Compression of Communication Collectives for Accelerating LLM Training

Wenxiang Lin, Xinglin Pan, Ruibo Fan, Shaohuai Shi, Xiaowen Chu · 2026

Communication has emerged as a critical bottleneck in the distributed training of large language models (LLMs). While numerous approaches have been proposed to reduce communication overhead, the poten…

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Computer Science Preprint PDF DOI

MASCing: Configurable Mixture-of-Experts Behavior via Activation Steering Masks

Jona te Lintelo, Lichao Wu, Marina Krcek, Sengim Karayalcin, Stjepan Picek · 2026

Mixture-of-Experts (MoE) architectures in Large Language Models (LLMs) have significantly reduced inference costs through sparse activation. However, this sparse activation paradigm also introduces ne…

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Mathematics Preprint PDF DOI

Separating Feasibility and Movement in Solution Discovery: The Case of Path Discovery

Hanno von Bergen, Larissa Fastenau, Enna Gerhard, Nicola Lorenz, Stephanie Maaz, Amer E. Mouawad, Roman Rabinovich, Nicole Schirrmacher, Daniel Schmand, Sebastian Siebertz, Mai Trinh · 2026

We study solution discovery, where the goal is to obtain a feasible solution to a problem from an initial configuration by a bounded sequence of local moves. In many applications, however, the graph t…

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Physics Preprint PDF DOI

Leveraging natural fluctuations for matrix-based aberration correction in photoacoustic imaging

Yevgeny Slobodkin, Ori Katz · 2026

Photoacoustic imaging is the leading technique for deep tissue optical imaging, allowing single-shot imaging at depths. However, its resolution may be limited by acoustic aberrations, caused by natura…

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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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Computer Science Preprint PDF DOI

Line Segment Clipping using Quadrilateral Concavity and Convexity

Bimal Kumar Ray · 2026

This paper proposes an algorithm for clipping line segment against an axis-aligned rectangular window. The conventional algorithms for line segment clipping treat the clipping boundary and/or the line…

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Computer Science Preprint PDF DOI

Order-invariant cluster first-order logic on graph classes of bounded degree

Fatemeh Ghasemi, Julien Grange · 2026

We introduce a new logic, called \emph{cluster first-order logic}, a restricted fragment of first-order logic specifically designed to study order invariance. An order-invariant formula is one on a vo…

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AI & Data Science Preprint PDF DOI

One Single Hub Text Breaks CLIP: Identifying Vulnerabilities in Cross-Modal Encoders via Hubness

Hiroyuki Deguchi, Katsuki Chousa, Yusuke Sakai · 2026

The hubness problem, in which hub embeddings are close to many unrelated examples, occurs often in high-dimensional embedding spaces and may pose a practical threat for purposes such as information re…

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AI & Data Science Preprint PDF DOI

Language Ideologies in a Multilingual Society: An LLM-based Analysis of Luxembourgish News Comments

Emilia Milano, Alistair Plum, Yves Scherrer, Christoph Purschke · 2026

Detecting language ideologies is a valuable yet complex task for understanding how identities are constructed through discourse. In Luxembourg's multicultural and multilingual society, language ideolo…

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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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Physics Preprint PDF DOI

Long-range states in collisions of ultracold molecules

James F. E. Croft, Brian K. Kendrick, Jeremy M. Hutson · 2026

We use coupled-channel calculations to explore the nature of near-threshold bound states in a simplified model of Rb+KRb. This is a prototype for systems with very strong coupling at short range and c…

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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 · 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 betwe…

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Mathematics Preprint PDF DOI

On the Hereditariness of the Representations of Thread Quivers

Enrico Maria Del Regno · 2026

We prove a conjecture of Paquette, Rock, and Yildirim by showing that, for every thread quiver, the abelian category of pointwise finite dimensional representations is hereditary. Since this category …

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AI & Data Science Preprint PDF DOI

Bayesian policy gradient and actor-critic algorithms

Mohammad Ghavamzadeh, Yaakov Engel, Michal Valko · 2026

Policy gradient methods are reinforcement learning algorithms that adapt a parameterized policy by following a performance gradient estimate. Conventional policy gradient methods use Monte-Carlo techn…

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AI & Data Science Preprint PDF DOI

Residual Gaussian Splatting for Ultra Sparse-View CBCT Reconstruction

Jian Lin, Jiancheng Fang, Shaoyu Wang, Changan Lai, Yikun Zhang, Yang Chen, Qiegen Liu · 2026

While 3D Gaussian splatting (3DGS) offers explicit and efficient scene representations for cone-beam computed tomography reconstruction, conventional photometric optimization inherently suffers from s…

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