Solver-Aided Verification of Policy Compliance in Tool-Augmented LLM Agents
arXiv:2603.20449v1 Announce Type: cross Abstract: Tool-augmented Large Language Models (TaLLMs) extend LLMs with the ability to invoke external tools, enabling…
Decoding the decoder: Contextual sequence-to-sequence modeling for intracortical speech decoding
arXiv:2603.20246v1 Announce Type: cross Abstract: Speech brain–computer interfaces require decoders that translate intracortical activity into linguistic output while remaining robust…
JointFM-0.1: A Foundation Model for Multi-Target Joint Distributional Prediction
arXiv:2603.20266v1 Announce Type: cross Abstract: Despite the rapid advancements in Artificial Intelligence (AI), Stochastic Differential Equations (SDEs) remain the gold-standard…
Measuring Research Convergence in Interdisciplinary Teams Using Large Language Models and Graph Analytics
arXiv:2603.20204v1 Announce Type: cross Abstract: Understanding how interdisciplinary research teams converge on shared knowledge is a persistent challenge. This paper…
Inference Energy and Latency in AI-Mediated Education: A Learning-per-Watt Analysis of Edge and Cloud Models
arXiv:2603.20223v1 Announce Type: cross Abstract: Immediate feedback is a foundational requirement of effective AI-mediated learning, yet the energy and latency…
Compensating Visual Insufficiency with Stratified Language Guidance for Long-Tail Class Incremental Learning
arXiv:2603.21708v1 Announce Type: new Abstract: Long-tail class incremental learning (LT CIL) remains highly challenging because the scarcity of samples in…
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…
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…