20 citations · 22 across the 7 of their papers we have counts for
3 papers · 1 filter
Why is Your Language Model a Poor Implicit Reward Model?
Noam Razin, Yong Lin, Jiarui Yao +1
Reward models are key to language model post-training and inference pipelines. Conveniently, recent work showed that every language model defines an implicit reward model (IM-RM),…
AdaptMI: Adaptive Skill-based In-context Math Instruction for Small Language Models
Yinghui He, Abhishek Panigrahi, Yong Lin +1
In-context learning (ICL) allows a language model to improve its problem-solving capability when provided with suitable information in context. Since the choice of in-context infor…
Extending and Improving Wordnet via Unsupervised Word Embeddings
Mikhail Khodak, Andrej Risteski, Christiane Fellbaum +1
This work presents an unsupervised approach for improving WordNet that builds upon recent advances in document and sense representation via distributional semantics. We apply our m…