Papers
Research papers from arXiv and related sources
A Comparative Study of Machine Learning Models for Hourly Forecasting of Air Temperature and Relative Humidity
Accurate short-term forecasting of air temperature and relative humidity is critical for urban management, especially in topographically complex cities such as Chongqing, China. This study compares...
Jiaqi Dong
Emergence of Fragility in LLM-based Social Networks: the Case of Moltbook
The rapid diffusion of large language models and the growth in their capability has enabled the emergence of online environments populated by autonomous AI agents that interact through natural lang...
Luca Sodano, Sofia Sciangula, Amulya Galmarini, Francesco Bertolotti
Multi-Modal Image Fusion via Intervention-Stable Feature Learning
Multi-modal image fusion integrates complementary information from different modalities into a unified representation. Current methods predominantly optimize statistical correlations between modali...
Xue Wang, Zheng Guan, Wenhua Qian, Chengchao Wang, Runzhuo Ma
A Multimodal Framework for Human-Multi-Agent Interaction
Human-robot interaction is increasingly moving toward multi-robot, socially grounded environments. Existing systems struggle to integrate multimodal perception, embodied expression, and coordinated...
Shaid Hasan, Breenice Lee, Sujan Sarker, Tariq Iqbal
Shape Polarization and Quasiparticle Alignment in the [523]5/2 and [642]5/2 bands of $^{169}$Hf
Rotational properties of [523]5/2 (h11/2) and [642]5/2 (i13/2) signature partner bands in 169Hf are investigated using the Total Routhian Surface (TRS) method. Experimental data show a distinct sig...
Rong-Xin Nie, Xue-Hui Ai, Xin Guan, Jie Yang
Not All Tokens Are Created Equal: Query-Efficient Jailbreak Fuzzing for LLMs
Large Language Models(LLMs) are widely deployed, yet are vulnerable to jailbreak prompts that elicit policy-violating outputs. Although prior studies have uncovered these risks, they typically trea...
Wenyu Chen, Xiangtao Meng, Chuanchao Zang, Li Wang, Xinyu Gao, Jianing Wang, Peng Zhan, Zheng Li,...
SafeSeek: Universal Attribution of Safety Circuits in Language Models
Mechanistic interpretability reveals that safety-critical behaviors (e.g., alignment, jailbreak, backdoor) in Large Language Models (LLMs) are grounded in specialized functional components. However...
Miao Yu, Siyuan Fu, Moayad Aloqaily, Zhenhong Zhou, Safa Otoum, Xing fan, Kun Wang, Yufei Guo, Qi...
On the Vulnerability of FHE Computation to Silent Data Corruption
Fully Homomorphic Encryption (FHE) is rapidly emerging as a promising foundation for privacy-preserving cloud services, enabling computation directly on encrypted data. As FHE implementations matur...
Jianan Mu, Ge Yu, Zhaoxuan Kan, Song Bian, Liang Kong, Zizhen Liu, Cheng Liu, Jing Ye, Huawei Li
AI Lifecycle-Aware Feasibility Framework for Split-RIC Orchestration in NTN O-RAN
Integrating Artificial Intelligence (AI) into Non-Terrestrial Networks (NTN) is constrained by the joint limits of satellite SWaP and feeder-link capacity, which directly impact O-RAN closed-loop c...
Daniele Tarchi
Is AI Catching Up to Human Expression? Exploring Emotion, Personality, Authorship, and Linguistic Style in English and Arabic with Six Large Language Models
The advancing fluency of LLMs raises important questions about their ability to emulate complex human traits, including emotional expression and personality, across diverse linguistic and cultural ...
Nasser A Alsadhan
Virtual materials testing of ASSB cathodes combining AI-based stochastic 3D modeling and numerical simulations
The performance of all-solid-state battery (ASSB) cathodes strongly depends on their microstructure. Optimizing the cathode morphology can therefore enhance effective macroscopic properties such as...
Anina Dufter, Sabrina Weber, Orkun Furat, Johannes Schubert, René Rekers, Maximilian Luczak, Erik...
MemCollab: Cross-Agent Memory Collaboration via Contrastive Trajectory Distillation
Large language model (LLM)-based agents rely on memory mechanisms to reuse knowledge from past problem-solving experiences. Existing approaches typically construct memory in a per-agent manner, tig...
Yurui Chang, Yiran Wu, Qingyun Wu, Lu Lin
I Came, I Saw, I Explained: Benchmarking Multimodal LLMs on Figurative Meaning in Memes
Internet memes represent a popular form of multimodal online communication and often use figurative elements to convey layered meaning through the combination of text and images. However, it remain...
Shijia Zhou, Saif M. Mohammad, Barbara Plank, Diego Frassinelli
Gyokuro: Source-assisted Private Membership Testing using Trusted Execution Environments
Private Membership Testing (PMT) protocols enable clients to verify whether a certain data item is included in a database without revealing the item to the database operator or other external parti...
Yoshimichi Nakatsuka, Nicolas Dutly, Kari Kostiainen, Srdjan Capkun
Decoding AI Authorship: Can LLMs Truly Mimic Human Style Across Literature and Politics?
Amidst the rising capabilities of generative AI to mimic specific human styles, this study investigates the ability of state-of-the-art large language models (LLMs), including GPT-4o, Gemini 1.5 Pr...
Nasser A Alsadhan
Scalable Impedance Identification of Diverse IBRs via Cluster-Specialized Neural Networks
Modern machine learning approaches typically identify the impedance of a single inverter-based resource (IBR) and assume similar impedance characteristics across devices. In modern power systems, h...
Quang Manh Hoang, Guilherme Vieira Hollweg, Bang Nguyen, Akhtar Hussain, Wencong Su, Van-Hai Bui
Sparser, Faster, Lighter Transformer Language Models
Scaling autoregressive large language models (LLMs) has driven unprecedented progress but comes with vast computational costs. In this work, we tackle these costs by leveraging unstructured sparsit...
Edoardo Cetin, Stefano Peluchetti, Emilio Castillo, Akira Naruse, Mana Murakami, Llion Jones
Who Is in the Room? Stakeholder Perspectives on AI Recording in Pediatric Emergency Care
Artificial intelligence systems that record voice and video during pediatric emergencies are emerging as human-computer interaction (HCI) technologies with direct implications for clinical work, ...
Alexandre De Masi, Sergio Manzano, Johan N. Siebert, Frederic Ehrler
ViKey: Enhancing Temporal Understanding in Videos via Visual Prompting
Recent advancements in Video Large Language Models (VideoLLMs) have enabled strong performance across diverse multimodal video tasks. To reduce the high computational cost of processing dense video...
Yeonkyung Lee, Dayun Ju, Youngmin Kim, Seil Kang, Seong Jae Hwang
ImplicitRM: Unbiased Reward Modeling from Implicit Preference Data for LLM alignment
Reward modeling represents a long-standing challenge in reinforcement learning from human feedback (RLHF) for aligning language models. Current reward modeling is heavily contingent upon experiment...
Hao Wang, Haocheng Yang, Licheng Pan, Lei Shen, Xiaoxi Li, Yinuo Wang, Zhichao Chen, Yuan Lu, Hao...