Papers
Research papers from arXiv and related sources
CTC-TTS: LLM-based dual-streaming text-to-speech with CTC alignment
Large-language-model (LLM)-based text-to-speech (TTS) systems can generate natural speech, but most are not designed for low-latency dual-streaming synthesis. High-quality dual-streaming TTS depend...
Hanwen Liu, Saierdaer Yusuyin, Hao Huang, Zhijian Ou
Extracting Patterns of Chemical Information from Differential Mobility Spectrometry Measurements under Varying Conditions of Humidity and Temperature
Differential Mobility Spectrometry (DMS), also known as Field Asymmetric Ion Mobility Spectrometry, is a rapid and affordable technology for extracting information from gas phase samples containing...
Philipp Müller, Gary A. Eiceman, Anton Rauhameri, Anton Kontunen, Antti Roine, Niku Oksala, Antti...
HOCA-Bench: Beyond Semantic Perception to Predictive World Modeling via Hegelian Ontological-Causal Anomalies
Video-LLMs have improved steadily on semantic perception, but they still fall short on predictive world modeling, which is central to physically grounded intelligence. We introduce HOCA-Bench, a be...
Chang Liu, Yunfan Ye, Qingyang Zhou, Xichen Tan, Mengxuan Luo, Zhenyu Qiu, Wei Peng, Zhiping Cai
VALD: Multi-Stage Vision Attack Detection for Efficient LVLM Defense
Large Vision-Language Models (LVLMs) can be vulnerable to adversarial images that subtly bias their outputs toward plausible yet incorrect responses. We introduce a general, efficient, and training...
Nadav Kadvil, Ayellet Tal
Spritz: Path-Aware Load Balancing in Low-Diameter Networks
Low-diameter topologies such as Dragonfly and Slim Fly are increasingly adopted in HPC and datacenter networks, yet existing load balancing techniques either rely on proprietary in-network mechanis...
Tommaso Bonato, Ales Kubicek, Abdul Kabbani, Ahmad Ghalayini, Maciej Besta, Torsten Hoefler
DICArt: Advancing Category-level Articulated Object Pose Estimation in Discrete State-Spaces
Articulated object pose estimation is a core task in embodied AI. Existing methods typically regress poses in a continuous space, but often struggle with 1) navigating a large, complex search space...
Li Zhang, Mingyu Mei, Ailing Wang, Xianhui Meng, Yan Zhong, Xinyuan Song, Liu Liu, Rujing Wang, Z...
Deep Learning Based Monthly Temperature Prediction for Jilin Province: A Multi Model Comparative Study 2000 2026
Jilin Province, a core commercial grain production base in China with a mid-temperate continental monsoon climate and significant temperature fluctuations, relies heavily on temperature for agricul...
Xingyue Deng, Xuechen Liang
Identifying, Explaining, and Correcting Ableist Language with AI
Ableist language perpetuates harmful stereotypes and exclusion, yet its nuanced nature makes it difficult to recognize and address. Artificial intelligence could serve as a powerful ally in the fig...
Kynnedy Simone Smith, Lydia B. Chilton, Danielle Bragg
Agentic AI as a Cybersecurity Attack Surface: Threats, Exploits, and Defenses in Runtime Supply Chains
Agentic systems built on large language models (LLMs) extend beyond text generation to autonomously retrieve information and invoke tools. This runtime execution model shifts the attack surface fro...
Xiaochong Jiang, Shiqi Yang, Wenting Yang, Yichen Liu, Cheng Ji
Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pretraining
One of the first pre-processing steps for constructing web-scale LLM pretraining datasets involves extracting text from HTML. Despite the immense diversity of web content, existing open-source data...
Jeffrey Li, Josh Gardner, Doug Kang, Fangping Shi, Karanjeet Singh, Chun-Liang Li, Herumb Shandil...
CIBER: A Comprehensive Benchmark for Security Evaluation of Code Interpreter Agents
LLM-based code interpreter agents are increasingly deployed in critical workflows, yet their robustness against risks introduced by their code execution capabilities remains underexplored. Existing...
Lei Ba, Qinbin Li, Songze Li
Vinedresser3D: Agentic Text-guided 3D Editing
Text-guided 3D editing aims to modify existing 3D assets using natural-language instructions. Current methods struggle to jointly understand complex prompts, automatically localize edits in 3D, and...
Yankuan Chi, Xiang Li, Zixuan Huang, James M. Rehg
Chaotic imprints of dark matter in extreme mass-ratio inspirals
Extreme mass-ratio inspirals (EMRIs) are among the most powerful probes of strong-field gravity and of the environments surrounding supermassive compact objects. Motivated by the expected presence ...
Mustapha Azreg-Aïnou, Mubasher Jamil, Emmanuel N. Saridakis
Can a Teenager Fool an AI? Evaluating Low-Cost Cosmetic Attacks on Age Estimation Systems
Age estimation systems are increasingly deployed as gatekeepers for age-restricted online content, yet their robustness to cosmetic modifications has not been systematically evaluated. We investiga...
Xingyu Shen, Tommy Duong, Xiaodong An, Zengqi Zhao, Zebang Hu, Haoyu Hu, Ziyou Wang, Finn Guo, Si...
Large Language Model-Assisted UAV Operations and Communications: A Multifaceted Survey and Tutorial
Uncrewed Aerial Vehicles (UAVs) are widely deployed across diverse applications due to their mobility and agility. Recent advances in Large Language Models (LLMs) offer a transformative opportunity...
Yousef Emami, Hao Zhou, Radha Reddy, Atefeh Hajijamali Arani, Biliang Wang, Kai Li, Luis Almeida,...
Bellman Value Decomposition for Task Logic in Safe Optimal Control
Real-world tasks involve nuanced combinations of goal and safety specifications. In high dimensions, the challenge is exacerbated: formal automata become cumbersome, and the combination of sparse r...
William Sharpless, Oswin So, Dylan Hirsch, Sylvia Herbert, Chuchu Fan
ORION: ORthonormal Text Encoding for Universal VLM AdaptatION
Vision language models (VLMs) have demonstrated remarkable generalization across diverse tasks, yet their performance remains constrained by the quality and geometry of the textual prototypes used ...
Omprakash Chakraborty, Jose Dolz, Ismail Ben Ayed
How to Train Your Deep Research Agent? Prompt, Reward, and Policy Optimization in Search-R1
Deep Research agents tackle knowledge-intensive tasks through multi-round retrieval and decision-oriented generation. While reinforcement learning (RL) has been shown to improve performance in this...
Yinuo Xu, Shuo Lu, Jianjie Cheng, Meng Wang, Qianlong Xie, Xingxing Wang, Ran He, Jian Liang
An LLM-Enabled Frequency-Aware Flow Diffusion Model for Natural-Language-Guided Power System Scenario Generation
Diverse and controllable scenario generation (e.g., wind, solar, load, etc.) is critical for robust power system planning and operation. As AI-based scenario generation methods are becoming the mai...
Zhenghao Zhou, Yiyan Li, Fei Xie, Lu Wang, Bo Wang, Jiansheng Wang, Zheng Yan, Mo-Yuen Chow
Ada-RS: Adaptive Rejection Sampling for Selective Thinking
Large language models (LLMs) are increasingly being deployed in cost and latency-sensitive settings. While chain-of-thought improves reasoning, it can waste tokens on simple requests. We study sele...
Yirou Ge, Yixi Li, Alec Chiu, Shivani Shekhar, Zijie Pan, Avinash Thangali, Yun-Shiuan Chuang, Ch...