AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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PTC-Bias is proposed, a two-stage framework based on phoneme-level temporal competition that reduces near-homophone and word-segmentation errors while preserving correct transcriptions and shows consistent gains across two SpeechLLMs and bias lists of up to 2000 words.
This work presents a physics-informed WiFi sensing framework for robust 3D human pose estimation under mobile and cross-environment settings that significantly improves robustness and generalization performance compared to state-of-the-art methods, particularly under cross-environment scenarios.
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