Efficient Test-Time Adaptation through Human-AI Interaction
This work proposes test-time adaptation through human-agent interaction (TAHI), which integrates these signals into agent context and weights, and crystallizes each user's training and evaluation criteria via an evolving rubric module.
Zora Zhiruo Wang, Apurva Gandhi, Rulin Shao et al.
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