Papers
Research papers from arXiv and related sources
Is it Me? Toward Self-Extension to AI Avatars in Virtual Reality
Advances in generative AI, speech synthesis, and embodied avatars enable systems that not only assist communication, but can act as proxies on users' behalf. Prior work in HCI has largely focused o...
Jieying Zhang, Steeven Villa, Abdallah El Ali
When Specifications Meet Reality: Uncovering API Inconsistencies in Ethereum Infrastructure
The Ethereum ecosystem, which secures over $381 billion in assets, fundamentally relies on client APIs as the sole interface between users and the blockchain. However, these critical APIs suffer fr...
Jie Ma, Ningyu He, Jinwen Xi, Mingzhe Xing, Liangxin Liu, Jiushenzi Luo, Xiaopeng Fu, Chiachih Wu...
Sensitivity-Aware Retrieval-Augmented Intent Clarification
In conversational search systems, a key component is to determine and clarify the intent behind complex queries. We view intent clarification in light of the exploratory search paradigm, where user...
Maik Larooij
STAR Beyond Diagonal RISs with Amplification: Modeling and Optimization
This paper develops a physically consistent signal model with hardware constraints for a simultaneous transmitting and reflecting beyond-diagonal RIS (STAR BD-RIS) endowed with per-element amplific...
Chandan Kumar Sheemar, Giovanni Iacovelli, Wali Ullah Khan, George C. Alexandropoulos, Stefano To...
MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing
Large language model-based (LLM-based) multi-agent systems (MAS) are increasingly used to extend agentic problem solving via role specialization and collaboration. MAS workflows can be naturally mo...
Yang Liu, Jinxuan Cai, Yishen Li, Qi Meng, Zedi Liu, Xin Li, Chen Qian, Chuan Shi, Cheng Yang
EvoESAP: Non-Uniform Expert Pruning for Sparse MoE
Sparse Mixture-of-Experts (SMoE) language models achieve strong capability at low per-token compute, yet deployment remains memory- and throughput-bound because the full expert pool must be stored ...
Zongfang Liu, Shengkun Tang, Boyang Sun, Zhiqiang Shen, Xin Yuan
Newton Method for Multiobjective Optimization Problems of Interval-Valued Maps
In this article, we propose a Newton-based method for solving multiobjective interval optimization problems (MIOPs). We first provide a connection between weakly Pareto optimal points and Pareto cr...
Tapas Mondal, Debdas Ghosh, Do Sang Kim
MM-ISTS: Cooperating Irregularly Sampled Time Series Forecasting with Multimodal Vision-Text LLMs
Irregularly sampled time series (ISTS) are widespread in real-world scenarios, exhibiting asynchronous observations on uneven time intervals across variables. Existing ISTS forecasting methods ofte...
Zhi Lei, Chenxi Liu, Hao Miao, Wanghui Qiu, Bin Yang, Chenjuan Guo
SemFuzz: A Semantics-Aware Fuzzing Framework for Network Protocol Implementations
Network protocols are the foundation of modern communication, yet their implementations often contain semantic vulnerabilities stemming from inadequate understanding of specification semantics. Exi...
Yanbang Sun, Quan Luo, Yuelin Wang, Qian Chen, Benjin Liu, Ruiqi Chen, Qing Huang, Xiaohong Li, J...
Fostering Knowledge Infrastructures in Science Communication and Aerospace Engineering
Knowledge infrastructures are defined as robust networks of people, artifacts, and institutions that generate, share and maintain specific knowledge. Yet, many domains are fragmented and far from r...
Tim Wittenborg
An Interactive Multi-Agent System for Evaluation of New Product Concepts
Product concept evaluation is a critical stage that determines strategic resource allocation and project success in enterprises. However, traditional expert-led approaches face limitations such as ...
Bin Xuan, Ruo Ai, Hakyeon Lee
Balancing Latency and Accuracy of Code Completion via Local-Cloud Model Cascading
Line-level code completion requires a critical balance between high accuracy and low latency. Existing methods suffer from a trade-off: large language models (LLMs) provide high-quality suggestions...
Hanzhen Lu, Lishui Fan, Jiachi Chen, Qiuyuan Chen, Zhao Wei, Zhongxin Liu
THETA: A Textual Hybrid Embedding-based Topic Analysis Framework and AI Scientist Agent for Scalable Computational Social Science
The explosion of big social data has created a scalability trap for traditional qualitative research, as manual coding remains labor-intensive and conventional topic models often suffer from semant...
Zhenke Duan, Xin Li
Towards High-resolution and Disentangled Reference-based Sketch Colorization
Sketch colorization is a critical task for automating and assisting in the creation of animations and digital illustrations. Previous research identified the primary difficulty as the distribution ...
Dingkun Yan, Xinrui Wang, Ru Wang, Zhuoru Li, Jinze Yu, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo
SwinYNet: A Transformer-based Multi-Task Model for Accurate and Efficient FRB Search
In this study, we present a transformer-based multi-task model for Fast Radio Burst (FRB) detection, signal segmentation, and parameter estimation directly from time-frequency data, without requiri...
Yunchuan Chen, Shulei Ni, Chan Li, Jianhua Fang, Dengke Zhou, Huaxi Chen, Yi Feng, Pei Wang, Chen...
PriorIDENT: Prior-Informed PDE Identification from Noisy Data
Identifying governing partial differential equations (PDEs) from noisy spatiotemporal data remains challenging due to differentiation-induced noise amplification and ambiguity from overcomplete lib...
Cheng Tang, Hao Liu, Dong Wang
How to Model Your Crazyflie Brushless
The Crazyflie quadcopter is widely recognized as a leading platform for nano-quadcopter research. In early 2025, the Crazyflie Brushless was introduced, featuring brushless motors that provide arou...
Alexander Gräfe, Christoph Scherer, Wolfgang Hönig, Sebastian Trimpe
XAI for Coding Agent Failures: Transforming Raw Execution Traces into Actionable Insights
Large Language Model (LLM)-based coding agents show promise in automating software development tasks, yet they frequently fail in ways that are difficult for developers to understand and debug. Whi...
Arun Joshi
SLER-IR: Spherical Layer-wise Expert Routing for All-in-One Image Restoration
Image restoration under diverse degradations remains challenging for unified all-in-one frameworks due to feature interference and insufficient expert specialization. We propose SLER-IR, a spherica...
Peng Shurui, Xin Lin, Shi Luo, Jincen Ou, Dizhe Zhang, Lu Qi, Truong Nguyen, Chao Ren
Implicit Style Conditioning: A Structured Style-Rewrite Framework for Low-Resource Character Modeling
Large Language Models (LLMs) have demonstrated impressive capabilities in role-playing (RP); however, small Language Models (SLMs) with highly stylized personas remains a challenge due to data scar...
Chanhui Zhu