Co-occurring keywords · papers mentioning both
large language model
(2)
blackbox large language model
(1)
computationally efficient
(1)
better-calibrated responses
(1)
multiple tasks
(1)
conditional average treatment effect on the treated (catt)
(1)
difference-in-differences
(1)
doubly robust meta-learner
(1)
client memory
(1)
federated split learning
(1)
Papers
A Meta-learner for Heterogeneous Effects in Difference-in-Differences
ICML 2025
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation
ICML 2025
Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access
ACL 2024
Thermometer: Towards Universal Calibration for Large Language Models
ICML 2024
Variational inference with continuously-indexed normalizing flows
UAI 2021