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Cautious Context Steering (CCS), which adds a lightweight adapter to a frozen backbone LM to decide at each token whether and how strongly user context should affect generation, demonstrating robust generalization to new users and domains.
Large Language Models (LLMs) have demonstrated strong generalization and reasoning capabilities across a wide range of domains, including embodied decision making and robotics. Despite this progress, existing reinforcement-based embodied agents often struggle with novel tasks requiring complex spatial reasoning and mul...
A lightweight and projection-free autoencoder that directly outputs compact, Contrastive Language–Image Pre-training (CLIP)-scale latent vectors trained toward the CLIP embedding space, achieving superior signal reconstruction fidelity across time and frequency domains using significantly fewer parameters than traditio...
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