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…
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…
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…
When both Grounding and not Grounding are Bad — A Partially Grounded Encoding of Planning into SAT (Extended Version)
arXiv:2603.19429v1 Announce Type: new Abstract: Classical planning problems are typically defined using lifted first-order representations, which offer compactness and generality.…
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…
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…
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…
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…
SCALE:Scalable Conditional Atlas-Level Endpoint transport for virtual cell perturbation prediction
arXiv:2603.17380v2 Announce Type: replace-cross Abstract: Virtual cell models aim to enable in silico experimentation by predicting how cells respond to…