Unverified50% confidenceFactExact time
HoS does not change the model's main weights; instead, it introduces a small gating module for each attention head that learns to reallocate attention weights over trusted and untrusted tokens.
1
Sources
50%
Confidence
Long-term
Relevance
10/28/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn a realistic monitoring setting, leveraging the high controllability brought by self-instructions, models can achieve evasion of chain-of-thought monitors.60% similarUnverifiedHuman-AI collaboration is fundamentally an attention allocation problem: the model filters out parts that can be safely skipped, the interface makes the remaining decisions fast and accurate, and the logs raise alerts when the first two fail.60% similarUnverifiedEven merely adding a single generic reminder within the chain of thought (asking the model to follow user constraints) substantially improves controllability.59% similarUnverifiedHaving the master control agent only do scheduling and not directly handle specific tasks, compared with a single agent taking on all operations, can save token consumption.58% similar
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