CustomTex: High-fidelity Indoor Scene Texturing via Multi-Reference Customization
arXiv:2603.19121v2 Announce Type: replace-cross Abstract: The creation of high-fidelity, customizable 3D indoor scene textures remains a significant challenge. While text-driven…
Uncertainty-aware Prototype Learning with Variational Inference for Few-shot Point Cloud Segmentation
arXiv:2603.19757v1 Announce Type: cross Abstract: Few-shot 3D semantic segmentation aims to generate accurate semantic masks for query point clouds with…
MOSS-TTSD: Text to Spoken Dialogue Generation
arXiv:2603.19739v1 Announce Type: cross Abstract: Spoken dialogue generation is crucial for applications like podcasts, dynamic commentary, and entertainment content, but…
Points-to-3D: Structure-Aware 3D Generation with Point Cloud Priors
arXiv:2603.18782v2 Announce Type: replace-cross Abstract: Recent progress in 3D generation has been driven largely by models conditioned on images or…
Computational framework to predict and shape human–machine interactions in closed-loop, co-adaptive neural interfaces
Nature Machine Intelligence, Published online: 23 March 2026; doi:10.1038/s42256-026-01194-z Madduri et al. introduce a computational framework grounded in control and…
Interpretability and implicit model semantics in biomedicine and deep learning
Nature Machine Intelligence, Published online: 23 March 2026; doi:10.1038/s42256-026-01177-0 We introduce a framework to analyse interpretability in deep learning, by…
DEAF: A Benchmark for Diagnostic Evaluation of Acoustic Faithfulness in Audio Language Models
arXiv:2603.18048v1 Announce Type: new Abstract: Recent Audio Multimodal Large Language Models (Audio MLLMs) demonstrate impressive performance on speech benchmarks, yet…
TDAD: Test-Driven Agentic Development – Reducing Code Regressions in AI Coding Agents via Graph-Based Impact Analysis
arXiv:2603.17973v2 Announce Type: replace-cross Abstract: AI coding agents can resolve real-world software issues, yet they frequently introduce regressions — breaking…
Cognitive Amplification vs Cognitive Delegation in Human-AI Systems: A Metric Framework
arXiv:2603.18677v1 Announce Type: cross Abstract: Artificial intelligence is increasingly embedded in human decision-making, where it can either enhance human reasoning…