Test-time adaptation via human-AI interaction paper open-sources full codebase
dan_fried · x · 2026-09-09
The team behind 'Efficient Test-Time Adaptation through Human-AI Interaction' (Zhiruo Wang et al., advised by Pang Wei Koh, Diyi Yang, Graham Neubig, and Dan Fried) open-sourced all code as zorazrw/tahi-agent-adaptation.
Highlights:
- Research focus: efficient test-time adaptation of agents through human-AI interaction.
- Released code covers interface design and context & weight adaptation, with weights adapted using Thinking Machines' Tinker API.
- Full engineering stack: a Bun + Vite + Electron app with a human-agent interaction interface, runnable via bun install && bun run dev.
- Data collection scenarios were supported by Handshake, with contributions from multiple collaborators and mentees.
A complete, reproducible open-source implementation for those working on test-time adaptation and human-in-the-loop agent improvement.
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