Search papers, labs, and topics across Lattice.
4
0
6
4
LLM workflows can be optimized without human labels by treating agent assignment and task decomposition as a bidding process, slashing optimization costs.
Bridging the gap between attribution and counterfactual explanations, this framework achieves unprecedented stability and reliability in time series model interpretability.
Achieving high-quality time series forecasting with just a few examples, MetaCaster revolutionizes the way lightweight forecasters are trained in data-scarce environments.
Faithful explanations in time series forecasting can be achieved without sacrificing accuracy, as IB-Forecast demonstrates superior performance over traditional interpretable models and black-box approaches.
