Papers
Research papers from arXiv and related sources
A Robotic Testing Platform for Pipelined Discovery of Resilient Soft Actuators
Short lifetime under high electrical fields hinders the widespread robotic application of linear dielectric elastomer actuators (DEAs). Systematic scanning is difficult due to time-consuming per-sa...
Ang, Li, Alexander Yin, Alexander White, Sahib Sandhu, Matthew Francoeur, Victor Jimenez-Santia...
EKF-Based Depth Camera and Deep Learning Fusion for UAV-Person Distance Estimation and Following in SAR Operations
Search and rescue (SAR) operations require rapid responses to save lives or property. Unmanned Aerial Vehicles (UAVs) equipped with vision-based systems support these missions through prior terrain...
Luka Šiktar, Branimir Ćaran, Bojan Šekoranja, Marko Švaco
See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis
Despite recent advances in diffusion models, AI generated images still often contain visual artifacts that compromise realism. Although more thorough pre-training and bigger models might reduce art...
Jaehyun Park, Minyoung Ahn, Minkyu Kim, Jonghyun Lee, Jae-Gil Lee, Dongmin Park
Some Simple Economics of AGI
For millennia, human cognition was the primary engine of progress on Earth. As AI decouples cognition from biology, the marginal cost of measurable execution falls to zero, absorbing any labor capt...
Christian Catalini, Xiang Hui, Jane Wu
The Art of Efficient Reasoning: Data, Reward, and Optimization
Large Language Models (LLMs) consistently benefit from scaled Chain-of-Thought (CoT) reasoning, but also suffer from heavy computational overhead. To address this issue, efficient reasoning aims to...
Taiqiang Wu, Zenan Zu, Bo Zhou, Ngai Wong
Architecting AgentOS: From Token-Level Context to Emergent System-Level Intelligence
The paradigm of Large Language Models is undergoing a fundamental transition from static inference engines to dynamic autonomous cognitive systems.While current research primarily focuses on scalin...
ChengYou Li, XiaoDong Liu, XiangBao Meng, XinYu Zhao
HELP: HyperNode Expansion and Logical Path-Guided Evidence Localization for Accurate and Efficient GraphRAG
Large Language Models (LLMs) often struggle with inherent knowledge boundaries and hallucinations, limiting their reliability in knowledge-intensive tasks. While Retrieval-Augmented Generation (RAG...
Yuqi Huang, Ning Liao, Kai Yang, Anning Hu, Shengchao Hu, Xiaoxing Wang, Junchi Yan
Airavat: An Agentic Framework for Internet Measurement
Internet measurement faces twin challenges: complex analyses require expert-level orchestration of tools, yet even syntactically correct implementations can have methodological flaws and can be dif...
Alagappan Ramanathan, Eunju Kang, Dongsu Han, Sangeetha Abdu Jyothi
Predicting Sentence Acceptability Judgments in Multimodal Contexts
Previous work has examined the capacity of deep neural networks (DNNs), particularly transformers, to predict human sentence acceptability judgments, both independently of context, and in document ...
Hyewon Jang, Nikolai Ilinykh, Sharid Loáiciga, Jey Han Lau, Shalom Lappin
A Corrected Welch Satterthwaite Equation. And: What You Always Wanted to Know About Kish's Effective Sample but Were Afraid to Ask
This article presents a corrected version of the Satterthwaite (1941, 1946) approximation for the degrees of freedom of a weighted sum of independent variance components. The original formula is kn...
Matthias von Davier
On Stein's test of uniformity on the hypersphere
We propose a new test of uniformity on the hypersphere based on a Stein characterization associated with the Laplace--Beltrami operator. We identify a sufficient class of test functions for this ch...
Paul Axmann, Bruno Ebner, Eduardo García-Portugués
InterPilot: Exploring the Design Space of AI-assisted Job Interview Support for HR Professionals
Recruitment interviews are cognitively demanding interactions in which interviewers must simultaneously listen, evaluate candidates, take notes, and formulate follow-up questions. To better underst...
Zhengtao Xu, Zimo Xia, Zicheng Zhu, Nattapat Boonprakong, Yu-An Chen, Rabih Zbib, Casimiro Pio Ca...
When LLMs Enter Everyday Feminism on Chinese Social Media: Opportunities and Risks for Women's Empowerment
Everyday digital feminism refers to the ordinary, often pragmatic ways women articulate lived experiences and cultivate solidarity in online spaces. In China, such practices flourish on RedNote thr...
Runhua Zhang, Ziqi Pan, Kangyu Yuan, Qiaoyi Chen, Yulin Tian, Huamin Qu, Xiaojuan Ma
MUSE: Harnessing Precise and Diverse Semantics for Few-Shot Whole Slide Image Classification
In computational pathology, few-shot whole slide image classification is primarily driven by the extreme scarcity of expert-labeled slides. Recent vision-language methods incorporate textual semant...
Jiahao Xu, Sheng Huang, Xin Zhang, Zhixiong Nan, Jiajun Dong, Nankun Mu
FGFRFT: Fast Graph Fractional FourierTransform via Fourier Series Approximation
The graph fractional Fourier transform (GFRFT) generalizes the graph Fourier transform (GFT) but suffers from a significant computational bottleneck: determining the optimal transform order require...
Ziqi Yan, Sen Shi, Feiyue Zhao, Manjun Cui, Yangfan He, Zhichao Zhang
SoK: Agentic Skills -- Beyond Tool Use in LLM Agents
Agentic systems increasingly rely on reusable procedural capabilities, \textit{a.k.a., agentic skills}, to execute long-horizon workflows reliably. These capabilities are callable modules that pack...
Yanna Jiang, Delong Li, Haiyu Deng, Baihe Ma, Xu Wang, Qin Wang, Guangsheng Yu
FinAnchor: Aligned Multi-Model Representations for Financial Prediction
Financial prediction from long documents involves significant challenges, as actionable signals are often sparse and obscured by noise, and the optimal LLM for generating embeddings varies across t...
Zirui He, Huopu Zhang, Yanguang Liu, Sirui Wu, Mengnan Du
Maximum entropy based testing in network models: ERGMs and constrained optimization
Stochastic network models play a central role across a wide range of scientific disciplines, and questions of statistical inference arise naturally in this context. In this paper we investigate goo...
Subhrosekhar Ghosh, Rathindra Nath Karmakar, Samriddha Lahiry
Training-Free Multi-Concept Image Editing
Editing images with diffusion models without training remains challenging. While recent optimisation-based methods achieve strong zero-shot edits from text, they struggle to preserve identity or ca...
Niki Foteinopoulou, Ignas Budvytis, Stephan Liwicki
DRESS: A Continuous Framework for Structural Graph Refinement
The Weisfeiler-Lehman (WL) hierarchy is a cornerstone framework for graph isomorphism testing and structural analysis. However, scaling beyond 1-WL to 3-WL and higher requires tensor-based operatio...
Eduar Castrillo Velilla