The authors formulate agent calibration across three interacting layers.
Successful agent migrations require calibration beyond interface compatibility alone
The authors propose a three-layer framework for preserving capabilities while adapting agents to new models, jurisdictions, and deployment environments.
Top University
Yaxiao Liu (PwC China AI Center) · Pengbo Liu (PwC China AI Center) · Yiwen Liu (PwC China AI Center) · Yihua Guan (PwC China AI Center) · Jiaxing Song (Tsinghua University)
Research Digest··2 min read
Thread:Agent Harness Optimization
Liu et al.
Why this paper
From Tsinghua University and PwC China AI Center · Part of Agent Harness Optimization, now 82 papers
In one line
Agent calibration across models, jurisdictions, and scale requires preserving capabilities through three layers of information, harness, and user adaptation.
What we could check
- ·No code link found
- ·No weights link found
- ·No dataset link found
- ·No compute details found
- ✓Limitations stated by the authors
- ·No benchmark numbers found
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
§