2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Training Task Experts through Retrieval Based Distillation
Jiaxin Ge, Xueying Jia, Vijay Viswanathan +2
One of the most reliable ways to create deployable models for specialized tasks is to obtain an adequate amount of high-quality task-specific data. However, for specialized tasks,…
cs.HC2023★ 2 cited
Lyfe Agents: Generative agents for low-cost real-time social interactions
Zhao Kaiya, Michelangelo Naim, Jovana Kondic +5
Highly autonomous generative agents powered by large language models promise to simulate intricate social behaviors in virtual societies. However, achieving real-time interactions…
cs.CL2023
Entailment as Robust Self-Learner
Jiaxin Ge, Hongyin Luo, Yoon Kim +1
Entailment has been recognized as an important metric for evaluating natural language understanding (NLU) models, and recent studies have found that entailment pretraining benefits…