11 citations · 44 across the 18 of their papers we have counts for
3 papers · 1 filter
Convex Dataset Valuation for Post-Training
Siqi Zeng, Christopher Jung, Rui Li +7
Improving LLM performance on downstream tasks sometimes requires leveraging auxiliary datasets during post-training. In practice, however, developers face constraints on compute, l…
Boltzmann Machine Learning with the Latent Maximum Entropy Principle
Shaojun Wang, Dale Schuurmans, Fuchun Peng +1
We present a new statistical learning paradigm for Boltzmann machines based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is differ…
An Integrated, Conditional Model of Information Extraction and Coreference with Applications to Citation Matching
Ben Wellner, Andrew McCallum, Fuchun Peng +1
Although information extraction and coreference resolution appear together in many applications, most current systems perform them as ndependent steps. This paper describes an appr…