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…
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…
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…
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…
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…
The data heat island effect: quantifying the impact of AI data centers in a warming world
arXiv:2603.20897v1 Announce Type: cross Abstract: The strong and continuous increase of AI-based services leads to the steady proliferation of AI…
Weakly supervised multimodal segmentation of acoustic borehole images with depth-aware cross-attention
arXiv:2603.20729v1 Announce Type: cross Abstract: Acoustic borehole images provide high-resolution borehole-wall structure, but large-scale interpretation remains difficult because dense expert…
DMMRL: Disentangled Multi-Modal Representation Learning via Variational Autoencoders for Molecular Property Prediction
arXiv:2603.21108v1 Announce Type: cross Abstract: Molecular property prediction constitutes a cornerstone of drug discovery and materials science, necessitating models capable…
Structural Sensitivity in Compressed Transformers: Error Propagation, Lyapunov Stability, and Formally Verified Bounds
arXiv:2603.20991v1 Announce Type: cross Abstract: A single matrix out of 468 in GPT-2 Small can increase perplexity by 20,000x when…
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.…