2 papers
cs.CL2026
Evaluation Awareness Is Not One Capability: Evidence from Open Language Models
Nilesh Nayan, Aishwarya Sampath Kumar, Rishiraj Girmal +5
Safety benchmarks assume that test-condition behavior predicts deployment behavior, an assumption that fails if models detect evaluation cues and adapt. This opens a gap between be…
cs.LG2021
Evaluating Deep Neural Network Ensembles by Majority Voting cum Meta-Learning scheme
Anmol Jain, Aishwary Kumar, Seba Susan
Deep Neural Networks (DNNs) are prone to overfitting and hence have high variance. Overfitted networks do not perform well for a new data instance. So instead of using a single DNN…