Search papers, labs, and topics across Lattice.
Affiliation:
2
0
4
2
Proposals that consider user evaluability can dramatically enhance AI assistant performance, revealing that what users accept and what they need to learn can diverge significantly.
Conventional experimental designs may yield high confidence but fragile decisions, while a new robustness-aware approach ensures stability against adversarial uncertainty.
