Adaptive Duration Model for Text Speech Alignment
arXiv:2507.22612v1 Announce Type: cross Abstract: Speech-to-text alignment is a critical component of neural text to-speech (TTS) models. Autoregressive TTS models…
Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting
arXiv:2505.10774v2 Announce Type: replace-cross Abstract: Time series forecasting is important for applications spanning energy markets, climate analysis, and traffic management.…
MapDiffusion: Generative Diffusion for Vectorized Online HD Map Construction and Uncertainty Estimation in Autonomous Driving
arXiv:2507.21423v1 Announce Type: cross Abstract: Autonomous driving requires an understanding of the static environment from sensor data. Learned Bird’s-Eye View…
Reasoning Language Models for Root Cause Analysis in 5G Wireless Networks
arXiv:2507.21974v1 Announce Type: new Abstract: Root Cause Analysis (RCA) in mobile networks remains a challenging task due to the need…
Generating Heterogeneous Multi-dimensional Data : A Comparative Study
arXiv:2507.00090v3 Announce Type: replace-cross Abstract: Allocation of personnel and material resources is highly sensible in the case of firefighter interventions.…
Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion
arXiv:2507.21395v1 Announce Type: cross Abstract: Multimodal emotion recognition (MER) is crucial for enabling emotionally intelligent systems that perceive and respond…
Leveraging Analytic Gradients in Provably Safe Reinforcement Learning
arXiv:2506.01665v2 Announce Type: replace-cross Abstract: The deployment of autonomous robots in safety-critical applications requires safety guarantees. Provably safe reinforcement learning…
Lightweight Remote Sensing Scene Classification on Edge Devices via Knowledge Distillation and Early-exit
arXiv:2507.20623v1 Announce Type: cross Abstract: As the development of lightweight deep learning algorithms, various deep neural network (DNN) models have…
“X of Information” Continuum: A Survey on AI-Driven Multi-dimensional Metrics for Next-Generation Networked Systems
arXiv:2507.19657v1 Announce Type: cross Abstract: The development of next-generation networking systems has inherently shifted from throughput-based paradigms towards intelligent, information-aware…
Epitome: Pioneering an Experimental Platform for AI-Social Science Integration
arXiv:2507.01061v2 Announce Type: replace-cross Abstract: The integration of Large Language Models (LLMs) into social science experiments represents a transformative approach…