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Research questionHow should wireless foundation models be evaluated for transferable representations under task and distribution shifts?Wireless foundation-model studies use different data, modalities, objectives, architectures, and evaluation protocols, making transfer claims difficult to compare. Apparent reuse of representations may not persist when tasks or deployment conditions change.
AI
Evaluation & Benchmarks
Machine Learning
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Latest papersRecent research connected to this question, newest first.Wireless Foundation Models: State-of-the-Art and Open ChallengesThe source surveys wireless foundation models across physical-layer task families and compares their pretraining, adaptation, and evaluation under in-distribution, partial-shift, and out-of-distribution settings. It synthesizes existing evidence but does not establish a standardized benchmark or identify which design choices causally produce better transfer.research paper · Sep 4, 2026
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