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cs.LG2025
LZ Penalty: An information-theoretic repetition penalty for autoregressive language models
Antonio A. Ginart, Naveen Kodali, Jason Lee +3
We introduce the LZ penalty, a penalty specialized for reducing degenerate repetitions in autoregressive language models without loss of capability. The penalty is based on the cod…
cs.LG2014★ 5 cited
Active Clustering with Model-Based Uncertainty Reduction
Caiming Xiong, David Johnson, Jason J. Corso
Semi-supervised clustering seeks to augment traditional clustering methods by incorporating side information provided via human expertise in order to increase the semantic meaningf…