Papers
Research papers from arXiv and related sources
A Diffeomorphism Groupoid and Algebroid Framework for Discontinuous Image Registration
In this paper, we propose a novel mathematical framework for piecewise diffeomorphic image registration that involves discontinuous sliding motion using a diffeomorphism groupoid and algebroid appr...
Lili Bao, Bin Xiao, Shihui Ying, Stefan Sommer
DocSage: An Information Structuring Agent for Multi-Doc Multi-Entity Question Answering
Multi-document Multi-entity Question Answering inherently demands models to track implicit logic between multiple entities across scattered documents. However, existing Large Language Models (LLMs)...
Teng Lin, Yizhang Zhu, Zhengxuan Zhang, Yuyu Luo, Nan Tang
Locating Demographic Bias at the Attention-Head Level in CLIP's Vision Encoder
Standard fairness audits of foundation models quantify that a model is biased, but not where inside the network the bias resides. We propose a mechanistic fairness audit that combines projected res...
Alaa Yasser, Kittipat Phunjanna, Marcos Escudero Viñolo, Catarina Barata, Jenny Benois-Pineau
Continuum Reverberation in Bright Quasars Using NASA/ATLAS
Variable continuum emission from AGN can be used to probe the structure of their accretion disks via reverberation mapping. Assuming a variable, hot inner light source irradiates the surrounding ac...
Zachary Steyn, Christian Wolf, Christopher Onken, Ken Smith, Ji-Jia Tang, Andjelka B. Kovacevic, ...
Language Generation with Replay: A Learning-Theoretic View of Model Collapse
As scaling laws push the training of frontier large language models (LLMs) toward ever-growing data requirements, training pipelines are approaching a regime where much of the publicly available on...
Giorgio Racca, Michal Valko, Amartya Sanyal
Origin of open clusters revealed by the evolution of the m_max$-$M_ecl relation
Using the Gaia DR3 open cluster catalog, we identified the most massive star in each observed cluster. Examining the m_max$-$M_cluster relations across different age ranges, we find that as cluster...
J. W. Zhou, Sami Dib, Pavel Kroupa
From Debate to Deliberation: Structured Collective Reasoning with Typed Epistemic Acts
Multi-agent LLM systems increasingly tackle complex reasoning, yet their interaction patterns remain limited to voting, unstructured debate, or pipeline orchestration. None model deliberation: a ph...
Sunil Prakash
Trust Oriented Explainable AI for Fake News Detection
This article examines the application of Explainable Artificial Intelligence (XAI) in NLP based fake news detection and compares selected interpretability methods. The work outlines key aspects of ...
Krzysztof Siwek, Daniel Stankowski, Maciej Stodolski
Governing Evolving Memory in LLM Agents: Risks, Mechanisms, and the Stability and Safety Governed Memory (SSGM) Framework
Long-term memory has emerged as a foundational component of autonomous Large Language Model (LLM) agents, enabling continuous adaptation, lifelong multimodal learning, and sophisticated reasoning. ...
Chingkwun Lam, Jiaxin Li, Lingfei Zhang, Kuo Zhao
Exploiting Expertise of Non-Expert and Diverse Agents in Social Bandit Learning: A Free Energy Approach
Personalized AI-based services involve a population of individual reinforcement learning agents. However, most reinforcement learning algorithms focus on harnessing individual learning and fail to ...
Erfan Mirzaei, Seyed Pooya Shariatpanahi, Alireza Tavakoli, Reshad Hosseini, Majid Nili Ahmadabadi
Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows
Deep generative models for anomaly detection in multivariate time-series are typically trained by maximizing data likelihood. However, likelihood in observation space measures marginal density rath...
David Baumgartner, Eliezer de Souza da Silva, Iñigo Urteaga
Controllable Egocentric Video Generation via Occlusion-Aware Sparse 3D Hand Joints
Motion-controllable video generation is crucial for egocentric applications in virtual reality and embodied AI. However, existing methods often struggle to achieve 3D-consistent fine-grained hand a...
Chenyangguang Zhang, Botao Ye, Boqi Chen, Alexandros Delitzas, Fangjinhua Wang, Marc Pollefeys, X...
Mitigating the Multiplicity Burden: The Role of Calibration in Reducing Predictive Multiplicity of Classifiers
As machine learning models are increasingly deployed in high-stakes environments, ensuring both probabilistic reliability and prediction stability has become critical. This paper examines the inter...
Mustafa Cavus
Compression Favors Consistency, Not Truth: When and Why Language Models Prefer Correct Information
Why do language models sometimes prefer correct statements even when trained on mixed-quality data? We introduce the Compression--Consistency Principle: next-token prediction favors hypotheses that...
Konstantin Krestnikov
Merger-driven buildup of the $M_{\rm BH}$ - $M_*$ relation bridging high-$z$ overmassive black holes with the local relation
The origin of the mass scaling relation between supermassive black holes (SMBHs, $M_{\rm BH}$) and galaxies ($M_*$) remains a key open question. Rather than invoking AGN feedback, a non-causal mech...
Takumi S. Tanaka, John D. Silverman, Kazuhiro Shimasaku, Knud Jahnke, Junyao Li, Makoto Ando
Gender Bias in Generative AI-assisted Recruitment Processes
In recent years, generative artificial intelligence (GenAI) systems have assumed increasingly crucial roles in selection processes, personnel recruitment and analysis of candidates' profiles. Howev...
Martina Ullasci, Marco Rondina, Riccardo Coppola, Antonio Vetrò
VTEdit-Bench: A Comprehensive Benchmark for Multi-Reference Image Editing Models in Virtual Try-On
As virtual try-on (VTON) continues to advance, a growing number of real-world scenarios have emerged, pushing beyond the ability of the existing specialized VTON models. Meanwhile, universal multi-...
Xiaoye Liang, Zhiyuan Qu, Mingye Zou, Jiaxin Liu, Lai Jiang, Mai Xu, Yiheng Zhu
When OpenClaw Meets Hospital: Toward an Agentic Operating System for Dynamic Clinical Workflows
Large language model (LLM) agents extend conventional generative models by integrating reasoning, tool invocation, and persistent memory. Recent studies suggest that such agents may significantly i...
Wenxian Yang, Hanzheng Qiu, Bangqun Zhang, Chengquan Li, Zhiyong Huang, Xiaobin Feng, Rongshan Yu...
Scaling Laws for Educational AI Agents
While scaling laws for Large Language Models (LLMs) have been extensively studied along dimensions of model parameters, training data, and compute, the scaling behavior of LLM-based educational age...
Mengsong Wu, Hao Hao, Shuzhen Bi, Keqian Li, Wentao Liu, Siyu Song, Hongbo Zhao, Aimin Zhou
Inverse $t$-source problem and a strict positivity property for coupled subdiffusion systems
This article is concerned with the inverse problem on determining the temporal component of the source term in a coupled system of time-fractional diffusion equations by single point observation. U...
Mohamed BenSalah, Yikan Liu