3 citations · 3 across the 4 of their papers we have counts for
3 papers · 1 filter
Intrinsic Mutual Information as a Modulator for Preference Optimization
Peng Liao, Peijia Zheng, Lingbo Li +2
Offline preference optimization methods, such as Direct Preference Optimization (DPO), offer significant advantages in aligning Large Language Models (LLMs) with human values. Howe…
SYNAPSE-G: Bridging Large Language Models and Graph Learning for Rare Event Classification
Sasan Tavakkol, Lin Chen, Max Springer +4
Scarcity of labeled data, especially for rare events, hinders training effective machine learning models. This paper proposes SYNAPSE-G (Synthetic Augmentation for Positive Samplin…
Scaling On-Device GPU Inference for Large Generative Models
Jiuqiang Tang, Raman Sarokin, Ekaterina Ignasheva +5
Driven by the advancements in generative AI, large machine learning models have revolutionized domains such as image processing, audio synthesis, and speech recognition. While serv…