A modular, controllable, and efficient framework that selectively relaxes refusal behavior on authorized target domains while preserving standard safety elsewhere, offering a practical path toward foundation models that adapt to diverse professional needs.
Speculative decoding accelerates autoregressive generation by using a lightweight draft to propose multiple tokens for parallel verification. However, existing methods often require an additional draft model or weight representation, introducing non-negligible memory overhead on resource-constrained devices. Self-specu...
Chen-Ce Yang, Ning-Xi Cheng, Arash Akbari et al.· 0 citations
Correcting health misinformation in dialogue requires more than producing a factual rebuttal: users differ in what they know, what they believe, and what they need to hear, so an effective intervention often depends on first asking the right clarifying question. Yet existing methods either respond immediately or probe...
Xiaoying Song, Anirban Saha Anik, Jinyu Liu et al.· 0 citations
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