arxivJul 15bullish

Self-Evolving In-Context Learning for Direct Pilot-to-Beamformer Design in MU-MISO Systems

arXiv:2607.11970v1 Announce Type: cross Abstract: We develop an enhanced in-context learning (ICL) framework to improve the performance of pilot-based beamforming in multi-user multiple-input single-output (MU-MISO) systems. The proposed scheme integrates the ICL-Transformer backbone with the pilot

ICTR2 models #machine-learning #beamforming #communication

arxivJun 17

Implicit vs. Explicit Prompting Strategies for LVLMs in Referential Communication

arXiv:2606.17372v1 Announce Type: cross Abstract: Two recent studies (Jones et al. (2026); Zeng et al. (2026)) reach apparently contradictory conclusions about whether LVLMs can coordinate on efficient referring expressions. We control for task differences between the studies while directly comparin

LV1 model #language-models #communication #efficiency Read on arxiv →

arxivMay 29

Gesture-Aware Indoor THz ISAC Systems for Adaptive Resource Allocation

arXiv:2605.29913v1 Announce Type: cross Abstract: This paper investigates a multi-user indoor integrated sensing and communication (ISAC) system operating in the terahertz (THz) band, designed for adaptive communication based on gesture recognition. Leveraging gesture tracking through an extended Ka

EX1 model #terahertz #gesture-recognition #optimization Read on arxiv →