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Computer Science

arXiv preprints from January 1, 2026 through September 11, 2026 — 10:30:52 EST

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Posted in cs.LO · 2026-01-14 · Martin Grohe

Query Languages for Machine-Learning Models

In this paper, I discuss two logics for weighted finite structures: first-order logic with summation (FO(SUM)) and its recursive extension IFP(SUM). These logics originate from foundational work by Grädel, Gurevich, and Meer in the 1990s. In recent joint work with Standke, Steegmans, and Van den Bussche, we have investigated these...

💬 0 commentsarXiv:2601.09381v1PDF
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Posted in cs.GR · 2026-01-14 · Eduarda Caldeira, Tahar Chettaoui, Naser Damer, Fadi Boutros

AdaptDiff: Adaptive Guidance in Diffusion Models for Diverse and Identity-Consistent Face Synthesis (Student Abstract)

Diffusion models conditioned on identity embeddings enable the generation of synthetic face images that consistently preserve identity across multiple samples. Recent work has shown that introducing an additional negative condition through classifier-free guidance during sampling provides a mechanism to suppress undesired attributes,...

💬 0 commentsarXiv:2603.29569v1PDF
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Posted in cs.RO · 2026-01-14 · Xuemei Yao, Xiao Yang, Jianbin Sun, Liuwei Xie, Xuebin Shao, Xiyu Fang, Hang Su, Kewei Yang

ReflexDiffusion: Reflection-Enhanced Trajectory Planning for High-lateral-acceleration Scenarios in Autonomous Driving

Generating safe and reliable trajectories for autonomous vehicles in long-tail scenarios remains a significant challenge, particularly for high-lateral-acceleration maneuvers such as sharp turns, which represent critical safety situations. Existing trajectory planners exhibit systematic failures in these scenarios due to data...

💬 0 commentsarXiv:2601.09377v1PDF
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Posted in cs.LG · 2026-01-14 · Beatriz Pérez-Sánchez, Noelia Sánchez-Maroño, Miguel A. Díaz-Freire

Analysis of voice recordings features for Classification of Parkinson's Disease

Parkinson's disease (PD) is a chronic neurodegenerative disease. Early diagnosis is essential to mitigate the progressive deterioration of patients' quality of life. The most characteristic motor symptoms are very mild in the early stages, making diagnosis difficult. Recent studies have shown that the use of patient voice recordings...

💬 0 commentsarXiv:2601.17007v1PDF
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Posted in cs.CL · 2026-01-14 · Bolei Ma, Yusuke Miyao

The Imperfective Paradox in Large Language Models

Do Large Language Models (LLMs) genuinely grasp the compositional semantics of events, or do they rely on surface-level probabilistic heuristics? We investigate the Imperfective Paradox, a logical phenomenon where the past progressive aspect entails event realization for activities (e.g., running $\to$ ran) but not for accomplishments...

💬 0 commentsarXiv:2601.09373v2PDF
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Posted in cs.CR · 2026-01-14 · Pedro Antonino, Namrata Jain

Formally Verifying Noir Zero Knowledge Programs with NAVe

Zero-Knowledge (ZK) proof systems are cryptographic protocols that can (with overwhelming probability) demonstrate that the pair $(X, W)$ is in a relation $R$ without revealing information about the private input $W$. This membership checking is captured by a complex arithmetic circuit: a set of polynomial equations over a finite...

💬 0 commentsarXiv:2601.09372v1PDF
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Posted in cs.CL · 2026-01-14 · Aidana Aidynkyzy, Oğuz Dikenelli, Oylum Alatlı, Şebnem Bora

Relation Extraction Capabilities of LLMs on Clinical Text: A Bilingual Evaluation for English and Turkish

The scarcity of annotated datasets for clinical information extraction in non-English languages hinders the evaluation of large language model (LLM)-based methods developed primarily in English. In this study, we present the first comprehensive bilingual evaluation of LLMs for the clinical Relation Extraction (RE) task in both English...

💬 0 commentsarXiv:2601.09367v1PDF
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Posted in cs.IR · 2026-01-14 · Jana Isabelle Friese, Andreas Konstantin Kruff, Philipp Schaer, Norbert Fuhr, Nicola Ferro

LISP -- A Rich Interaction Dataset and Loggable Interactive Search Platform

We present a reusable dataset and accompanying infrastructure for studying human search behavior in Interactive Information Retrieval (IIR). The dataset combines detailed interaction logs from 61 participants (122 sessions) with user characteristics, including perceptual speed, topic-specific interest, search expertise, and...

💬 0 commentsarXiv:2601.09366v1PDF
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Posted in cs.CL · 2026-01-14 · Biswesh Mohapatra, Théo Charlot, Giovanni Duca, Mayank Palan, Laurent Romary, Justine Cassell

Frame of Reference: Addressing the Challenges of Common Ground Representation in Situational Dialogs

Common ground plays a critical role in situated spoken dialogs, where interlocutors must establish and maintain shared references to entities, events, and relations to sustain coherent interaction in a shared space and over time. With the increasing presence of embodied conversational agents and social robots, the ability to correctly...

💬 0 commentsarXiv:2601.09365v2PDF
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Posted in cs.IT · 2026-01-14 · Yuto Mizunuma, Yuichiro Fujiwara

Asymptotic Rate Bounds and Constructions for the Inclusive Variant of Disjunct Matrices

Disjunct matrices, also known as cover-free families and superimposed codes, are combinatorial arrays widely used in group testing. Among their variants, those that satisfy an additional combinatorial property called inclusiveness form a special class suitable for computationally efficient and highly error-tolerant group testing under...

💬 0 commentsarXiv:2601.09362v1PDF
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Posted in cs.LG · 2026-01-14 · Jiaying Zhang, Lei Shi, Jiguo Li, Jun Xu, Jiuchong Gao, Jinghua Hao, Renqing He

GeoRA: Geometry-Aware Low-Rank Adaptation for RLVR

Reinforcement Learning with Verifiable Rewards (RLVR) is a key paradigm for improving large-scale reasoning models. Unlike supervised fine-tuning (SFT), RLVR exhibits distinct optimization dynamics and is sensitive to the preservation of pre-trained geometric structures. However, existing parameter-efficient methods face key...

💬 0 commentsarXiv:2601.09361v3PDF
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Posted in cs.HC · 2026-01-14 · Daksh Pandey

Emergent Dark Patterns in AI-Generated User Interfaces

The advancement of artificial intelligence has transformed user interface design by enabling adaptive and personalized systems. Alongside these benefits, AI driven interfaces have also enabled the emergence of dark patterns, which are manipulative design strategies that influence user behavior for financial or business gain. As AI...

💬 0 commentsarXiv:2602.18445v1PDF
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Posted in cs.GT · 2026-01-14 · Jonathan Carrero, Ismael Rodriguez, Fernando Rubio

Measuring the benefits of lying in MARA under egalitarian social welfare

When some resources are to be distributed among a set of agents following egalitarian social welfare, the goal is to maximize the utility of the agent whose utility turns out to be minimal. In this context, agents can have an incentive to lie about their actual preferences, so that more valuable resources are assigned to them. In this...

💬 0 commentsarXiv:2601.09354v1PDF
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Posted in cs.AI · 2026-01-14 · Ioannis Peridis, Dimitrios Troullinos, Georgios Chalkiadakis, Pantelis Giankoulidis, Ioannis Papamichail, Markos Papageorgiou

Monte-Carlo Tree Search with Neural Network Guidance for Lane-Free Autonomous Driving

Lane-free traffic environments allow vehicles to better harness the lateral capacity of the road without being restricted to lane-keeping, thereby increasing the traffic flow rates. As such, we have a distinct and more challenging setting for autonomous driving. In this work, we consider a Monte-Carlo Tree Search (MCTS) planning...

💬 0 commentsarXiv:2601.09353v1PDF
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Posted in cs.CV · 2026-01-14 · Wei Liu, Xing Deng, Haijian Shao, Yingtao Jiang

Spectral Complex Autoencoder Pruning: A Fidelity-Guided Criterion for Extreme Structured Channel Compression

We propose Spectral Complex Autoencoder Pruning (SCAP), a reconstruction-based criterion that measures functional redundancy at the level of individual output channels. For each convolutional layer, we construct a complex interaction field by pairing the full multi-channel input activation as the real part with a single output-channel...

💬 0 commentsarXiv:2601.09352v1PDF
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Posted in cs.CY · 2026-01-14 · Ruomu Tan, Martin W Hoffmann

Navigating Ethical AI Challenges in the Industrial Sector: Balancing Innovation and Responsibility

The integration of artificial intelligence (AI) into the industrial sector has not only driven innovation but also expanded the ethical landscape, necessitating a reevaluation of principles governing technology and its applications and awareness in research and development of industrial AI solutions. This chapter explores how...

💬 0 commentsarXiv:2601.09351v1PDF
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Posted in cs.CV · 2026-01-14 · Mingyu Jeon, Sungjin Han, Jinkwon Hwang, Minchol Kwon, Jonghee Kim, Junyeong Kim

See More, Store Less: Memory-Efficient Resolution for Video Moment Retrieval

Recent advances in Multimodal Large Language Models (MLLMs) have improved image recognition and reasoning, but video-related tasks remain challenging due to memory constraints from dense frame processing. Existing Video Moment Retrieval (VMR) methodologies rely on sparse frame sampling, risking potential information loss, especially...

💬 0 commentsarXiv:2601.09350v1PDF
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Posted in cs.IT · 2026-01-14 · Pierre Jean-Claude Robert Bertrand

A Constructive Method to Maximize Entropy under Marginal Constraints

We study the problem of maximizing R{é}nyi entropy of order $2$ (equivalently, minimizing the index of coincidence) over the set of joint distributions with prescribed marginals. A closed-form optimizer is known under a feasibility condition on the marginals; we show that this condition is highly restrictive. We then provide an...

💬 0 commentsarXiv:2601.09347v2PDF
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Posted in cs.CC · 2026-01-14 · Suthee Ruangwises

Wataridori is NP-Complete

Wataridori is a pencil puzzle that involves drawing paths in a rectangular grid to connect circles into pairs while satisfying several constraints. In this paper, we prove that deciding whether a given Wataridori puzzle has a solution is NP-complete via a reduction from Numberlink, another pencil puzzle that has previously been proved...

💬 0 commentsarXiv:2601.09345v2PDF
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Posted in cs.CC · 2026-01-14 · Prateek Dwivedi, Benedikt Pago, Tim Seppelt

Lower Bounds in Algebraic Complexity via Symmetry and Homomorphism Polynomials

Valiant's conjecture asserts that the circuit complexity classes VP and VNP are distinct, meaning that the permanent does not admit polynomial-size algebraic circuits. As it is the case in many branches of complexity theory, the unconditional separation of these complexity classes seems elusive. In stark contrast, the symmetric...

💬 0 commentsarXiv:2601.09343v1PDF
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Posted in cs.CL · 2026-01-14 · Ewelina Gajewska, Katarzyna Budzynska, Jarosław A Chudziak

Improving Implicit Hate Speech Detection via a Community-Driven Multi-Agent Framework

This work proposes a contextualised detection framework for implicitly hateful speech, implemented as a multi-agent system comprising a central Moderator Agent and dynamically constructed Community Agents representing specific demographic groups. Our approach explicitly integrates socio-cultural context from publicly available...

💬 0 commentsarXiv:2601.09342v2PDF
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Posted in cs.DL · 2026-01-14 · Yao Sun, Liqiu Meng, Andres Camero, Stefan Auer, Xiao Xiang Zhu

A Deep Dive into OpenStreetMap Research Since its Inception (2008-2024): Contributors, Topics, and Future Trends

OpenStreetMap (OSM) has transitioned from a pioneering volunteered geographic information (VGI) project into a global, multi-disciplinary research nexus. This study presents a bibliometric and systematic analysis of the OSM research landscape, examining its development trajectory and key driving forces. By evaluating 1,926...

💬 0 commentsarXiv:2601.09338v1PDF
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Posted in cs.DC · 2026-01-14 · Valerio Besozzi, Matteo Della Bartola, Patrizio Dazzi, Marco Danelutto

High-Performance Serverless Computing: A Systematic Literature Review on Serverless for HPC, AI, and Big Data

The widespread deployment of large-scale, compute-intensive applications such as high-performance computing, artificial intelligence, and big data is leading to convergence between cloud and high-performance computing infrastructures. Cloud providers are increasingly integrating high-performance computing capabilities in their...

💬 0 commentsarXiv:2601.09334v1PDF
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Posted in cs.SD · 2026-01-14 · Chun-Chieh Hsu, Tsai-Ling Hsu, Chen-Chen Yeh, Shao-Chien Lu, Cheng-Han Wu, Bing-Ze Liu, Timothy K. Shih, Yu-Cheng Lin

Research on Piano Timbre Transformation System Based on Diffusion Model

We propose a timbre conversion model based on the Diffusion architecture de-signed to precisely translate music played by various instruments into piano ver-sions. The model employs a Pitch Encoder and Loudness Encoder to extract pitch and loudness features of the music, which serve as conditional inputs to the Dif-fusion Model's...

💬 0 commentsarXiv:2601.09333v1PDF
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Posted in cs.IT · 2026-01-14 · Jun Su, Guangyue Han, Shlomo Shamai

Generalized Schalkwijk-Kailath Coding for Autoregressive Gaussian Channels

We propose a Gaussian random coding scheme for AR($p$) Gaussian channels that generalizes the celebrated Schalkwijk-Kailath (SK) coding scheme. This constructive coding scheme, termed the SK(2) coding scheme, yields a closed-form characterization for the corresponding achievable rate. Among many others, this result shows that the...

💬 0 commentsarXiv:2601.09329v2PDF