Papers
Research papers from arXiv and related sources
SIMART: Decomposing Monolithic Meshes into Sim-ready Articulated Assets via MLLM
High-quality articulated 3D assets are indispensable for embodied AI and physical simulation, yet 3D generation still focuses on static meshes, leaving a gap in "sim-ready" interactive objects. Mos...
Chuanrui Zhang, Minghan Qin, Yuang Wang, Baifeng Xie, Hang Li, Ziwei Wang
Central Dogma Transformer III: Interpretable AI Across DNA, RNA, and Protein
Biological AI models increasingly predict complex cellular responses, yet their learned representations remain disconnected from the molecular processes they aim to capture. We present CDT-III, whi...
Nobuyuki Ota
Off-Policy Value-Based Reinforcement Learning for Large Language Models
Improving data utilization efficiency is critical for scaling reinforcement learning (RL) for long-horizon tasks where generating trajectories is expensive. However, the dominant RL methods for LLM...
Peng-Yuan Wang, Ziniu Li, Tian Xu, Bohan Yang, Tian-Shuo Liu, ChenYang Wang, Xiong-Hui Chen, Yi-C...
Design Space and Implementation of RAG-Based Avatars for Virtual Archaeology
Immersive technologies, such as virtual and augmented reality, are transforming digital heritage by enabling users to explore and interact with culturally significant sites. It is now possible to v...
Wilhelm Kerle-Malcharek, Giulio Biondi, Karsten Klein, Ulf Hailer, Steffen Diefenbach, Fabrizio G...
Physics-Informed AI for Laser-Enhanced Contact Optimization in Silicon PV: Electrothermal Activation, Degradation Regimes, and Process Control
Laser-enhanced contact optimization (LECO) is increasingly used method to reduce contact resistance and recover fill factor in advanced crystalline silicon solar cells. However, the industrial tran...
Donald Intal, Abasifreke U. Ebong
RelayS2S: A Dual-Path Speculative Generation for Real-Time Dialogue
Real-time spoken dialogue systems face a fundamental tension between latency and response quality. End-to-end speech-to-speech (S2S) models respond immediately and naturally handle turn-taking, bac...
Long Mai
An Explainable AI-Driven Framework for Automated Brain Tumor Segmentation Using an Attention-Enhanced U-Net
Computer-aided segmentation of brain tumors from MRI data is of crucial significance to clinical decision-making in diagnosis, treatment planning, and follow-up disease monitoring. Gliomas, owing t...
MD Rashidul Islam, Bakary Gibba
Numerical Kernels on a Spatial Accelerator: A Study of Tenstorrent Wormhole
As AI accelerators gain prominence, their potential for traditional scientific computing workloads remains unclear. This paper explores Tenstorrent's Wormhole architecture, a spatial computing plat...
Maya Taylor, Carl Pearson, Luc Berger-Vergiat, Giovanni Long, Jan Ciesko
Leveraging LLMs and Social Media to Understand User Perception of Smartphone-Based Earthquake Early Warnings
Android's Earthquake Alert (AEA) system provided timely early warnings to millions during the Mw 6.2 Marmara Ereglisi, Türkiye earthquake on April 23, 2025. This event, the largest in the region in...
Hanjing Wang, S. Mostafa Mousavi, Patrick Robertson, Richard M. Allen, Alexie Barski, Robert Bosc...
Unilateral Relationship Revision Power in Human-AI Companion Interaction
When providers update AI companions, users report grief, betrayal, and loss. A growing literature asks whether the norms governing personal relationships extend to these interactions. So what, if a...
Benjamin Lange
Curriculum-Driven 3D CT Report Generation via Language-Free Visual Grafting and Zone-Constrained Compression
Automated radiology report generation from 3D computed tomography (CT) volumes is challenging due to extreme sequence lengths, severe class imbalance, and the tendency of large language models (LLM...
V. K. Cody Bumgardner, Mitchell A. Klusty, Mahmut S. Gokmen, Evan W. Damron
Security Barriers to Trustworthy AI-Driven Cyber Threat Intelligence in Finance: Evidence from Practitioners
Financial institutions face increasing cyber risk while operating under strict regulatory oversight. To manage this risk, they rely heavily on Cyber Threat Intelligence (CTI) to inform detection, r...
Emir Karaosman, Advije Rizvani, Irdin Pekaric
Steering LLMs for Culturally Localized Generation
LLMs are deployed globally, yet produce responses biased towards cultures with abundant training data. Existing cultural localization approaches such as prompting or post-training alignment are bla...
Simran Khanuja, Hongbin Liu, Shujian Zhang, John Lambert, Mingqing Chen, Rajiv Mathews, Lun Wang
Designing Agentic AI-Based Screening for Portfolio Investment
We introduce a new agentic artificial intelligence (AI) platform for portfolio management. Our architecture consists of three layers. First, two large language model (LLM) agents are assigned speci...
Mehmet Caner, Agostino Capponi, Nathan Sun, Jonathan Y. Tan
LLM Olympiad: Why Model Evaluation Needs a Sealed Exam
Benchmarks and leaderboards are how NLP most often communicates progress, but in the LLM era they are increasingly easy to misread. Scores can reflect benchmark-chasing, hidden evaluation choices, ...
Jan Christian Blaise Cruz, Alham Fikri Aji
Unlocking AI's Potential in Agriculture: The Critical Role of Data
India generates substantial volumes of public agricultural data, yet artificial intelligence (AI) adoption in farming remains limited and largely confined to pilot initiatives. This paper examines ...
K. B. Vedamurthy, Manojkumar Patil, Vaishnavi, Priyanka V, Suman L, Ajayakumar, Sagar
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
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,...