From the 1 of 4 linked papers with an AI index.
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Growing a Tail: Increasing Output Diversity in Large Language Models
Michal Shur-Ofry, Bar Horowitz-Amsalem, Adir Rahamim +1
The paper investigates how narrowly large language models generate answers compared to the broader range of human responses, and shows that increasing temperature, using diverse pr…
Will it Merge? On The Causes of Model Mergeability
Adir Rahamim, Asaf Yehudai, Boaz Carmeli +3
Model merging has emerged as a promising technique for combining multiple fine-tuned models into a single multitask model without retraining. However, the factors that determine wh…
ContraSim -- Analyzing Neural Representations Based on Contrastive Learning
Adir Rahamim, Yonatan Belinkov
Recent work has compared neural network representations via similarity-based analyses to improve model interpretation. The quality of a similarity measure is typically evaluated by…