Foundation Models for Generalizable Semantic and Goal-Oriented Communication
cs.LG, cs.AI, cs.RO, eess.IV
Submitted: 2026-09-07
Updated: 2026-09-07
Comments: 6 pages, IEEE ICC 2026
Journal ref: 2026 IEEE International Conference on Communications (ICC), pp. 1-6, 2026
DOI: 10.1109/ICC59461.2026.11588119
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks