Papers
Research papers from arXiv and related sources
On the generalized circular projected Cauchy distribution
\cite{tsagris2025a} proposed the generalized circular projected Cauchy distribution, whose special case is the wrapped Cauchy distribution. In this paper we first derive the relationship with the w...
Omar Alzeley, Michail Tsagris
A Multi-Dimensional Quality Scoring Framework for Decentralized LLM Inference with Proof of Quality
Decentralized large language model (LLM) inference networks can pool heterogeneous compute to scale serving, but they require lightweight and incentive-compatible mechanisms to assess output qualit...
Arther Tian, Alex Ding, Frank Chen, Simon Wu, Aaron Chan
Rethinking the Efficiency and Effectiveness of Reinforcement Learning for Radiology Report Generation
Radiologists highly desire fully automated AI for radiology report generation (R2G), yet existing approaches fall short in clinical utility. Reinforcement learning (RL) holds potential to address t...
Zilin Lu, Ruifeng Yuan, Weiwei Cao, Wanxing Chang, Zhongyu Wei, Sinuo Wang, Yong Xia, Ling Zhang,...
STEM Faculty Perspectives on Generative AI in Higher Education
Generative artificial intelligence (GenAI) tools are increasingly present in higher education, yet their adoption has been largely student-driven, requiring instructors to respond to technologies a...
Akila de Silva, Isabel Hyo Jung Song, Hui Yang, Shah Rukh Humayoun
Measuring AI R&D Automation
The automation of AI R&D (AIRDA) could have significant implications, but its extent and ultimate effects remain uncertain. We need empirical data to resolve these uncertainties, but existing data ...
Alan Chan, Ranay Padarath, Joe Kwon, Hilary Greaves, Markus Anderljung
SORT: A Systematically Optimized Ranking Transformer for Industrial-scale Recommenders
While Transformers have achieved remarkable success in LLMs through superior scalability, their application in industrial-scale ranking models remains nascent, hindered by the challenges of high fe...
Chunqi Wang, Bingchao Wu, Taotian Pang, Jiahao Wang, Jie Yang, Jia Liu, Hao Zhang, Hai Zhu, Lei S...
RIVER: A Real-Time Interaction Benchmark for Video LLMs
The rapid advancement of multimodal large language models has demonstrated impressive capabilities, yet nearly all operate in an offline paradigm, hindering real-time interactivity. Addressing this...
Yansong Shi, Qingsong Zhao, Tianxiang Jiang, Xiangyu Zeng, Yi Wang, Limin Wang
GeoSeg: Training-Free Reasoning-Driven Segmentation in Remote Sensing Imagery
Recent advances in MLLMs are reframing segmentation from fixed-category prediction to instruction-grounded localization. While reasoning based segmentation has progressed rapidly in natural scenes,...
Lifan Jiang, Yuhang Pei, oxi Wu, Yan Zhao, Tianrun Wu, Shulong Yu, Lihui Zhang, Deng Cai
MLOps-Assisted Anomalous Reflector Metasurfaces Design Based on Red Hat OpenShift AI
The integration of artificial intelligence as a design tool for metasurfaces, and the implementation of a deep-learning model pose a challenge in the development of an automated solution due to hig...
Wael Elshennawy
Map-Agnostic And Interactive Safety-Critical Scenario Generation via Multi-Objective Tree Search
Generating safety-critical scenarios is essential for validating the robustness of autonomous driving systems, yet existing methods often struggle to produce collisions that are both realistic and ...
Wenyun Li, Zejian Deng, Chen Sun
Upholding Epistemic Agency: A Brouwerian Assertibility Constraint for Responsible AI
Generative AI can convert uncertainty into authoritative-seeming verdicts, displacing the justificatory work on which democratic epistemic agency depends. As a corrective, I propose a Brouwer-inspi...
Michael Jülich
Generative AI in Managerial Decision-Making: Redefining Boundaries through Ambiguity Resolution and Sycophancy Analysis
Generative artificial intelligence is increasingly being integrated into complex business workflows, fundamentally shifting the boundaries of managerial decision-making. However, the reliability of...
Sule Ozturk Birim, Fabrizio Marozzo, Yigit Kazancoglu
BLOCK: An Open-Source Bi-Stage MLLM Character-to-Skin Pipeline for Minecraft
We present \textbf{BLOCK}, an open-source bi-stage character-to-skin pipeline that generates pixel-perfect Minecraft skins from arbitrary character concepts. BLOCK decomposes the problem into (i) a...
Hengquan Guo
LoRA-MME: Multi-Model Ensemble of LoRA-Tuned Encoders for Code Comment Classification
Code comment classification is a critical task for automated software documentation and analysis. In the context of the NLBSE'26 Tool Competition, we present \textbf{LoRA-MME}, a Multi-Model Ensemb...
Md Akib Haider, Ahsan Bulbul, Nafis Fuad Shahid, Aimaan Ahmed, Mohammad Ishrak Abedin
Lang2Str: Two-Stage Crystal Structure Generation with LLMs and Continuous Flow Models
Generative models hold great promise for accelerating material discovery but are often limited by their inflexible single-stage generative process in designing valid and diverse materials. To addre...
Cong Liu, Chengyue Gong, Zhenyu Liu, Jiale Zhao, Yuxuan Zhang
Lightweight Visual Reasoning for Socially-Aware Robots
Robots operating in shared human environments must not only navigate, interact, and detect their surroundings, they must also interpret and respond to dynamic, and often unpredictable, human behavi...
Alessio Galatolo, Ronald Cumbal, Alexandros Rouchitsas, Katie Winkle, Didem Gürdür Broo, Ginevra ...
Slice-wise quality assessment of high b-value breast DWI via deep learning-based artifact detection
Diffusion-weighted imaging (DWI) can support lesion detection and characterization in breast magnetic resonance imaging (MRI), however especially high b-value diffusion-weighted acquisitions can be...
Ameya Markale, Luise Brock, Ihor Horishnyi, Dominika Skwierawska, Tri-Thien Nguyen, Hannes Schrei...
Selecting Offline Reinforcement Learning Algorithms for Stochastic Network Control
Offline Reinforcement Learning (RL) is a promising approach for next-generation wireless networks, where online exploration is unsafe and large amounts of operational data can be reused across the ...
Nicolas Helson, Pegah Alizadeh, Anastasios Giovanidis
Demonstration of robust chiral edge transport in Chern insulator MnBi2Te4 devices with engineered geometric defects
Chiral edge states in Chern insulators are theoretically predicted to propagate unidirectionally along the sample boundary with inherent robustness against local perturbations, which manifests as t...
Pinyuan Wang, Jun Ge, Jiawei Luo, Xiaoqi Liu, Fucong Fei, Fengqi Song, Jian Wang
BD-Merging: Bias-Aware Dynamic Model Merging with Evidence-Guided Contrastive Learning
Model Merging (MM) has emerged as a scalable paradigm for multi-task learning (MTL), enabling multiple task-specific models to be integrated without revisiting the original training data. Despite r...
Yuhan Xie, Chen Lyu