Lingjia Tang
University of Michigan
H-index: 36
North America-United States
Top articles of Lingjia Tang
System and methods for sharing memory subsystem resources among datacenter applications
2024/1/16
One Agent Too Many: User Perspectives on Approaches to Multi-agent Conversational AI
arXiv preprint arXiv:2401.07123
2024/1/13
Christopher Clarke
H-Index: 1
Karthik Krishnamurthy
H-Index: 5
Lingjia Tang
H-Index: 30
Jason Mars
H-Index: 30
Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's GPT-4 with Self-Hosted Open Source SLMs in Production
arXiv preprint arXiv:2312.14972
2023/12/20
Label Agnostic Pre-training for Zero-shot Text Classification
arXiv preprint arXiv:2305.16521
2023/5/25
Jaseci: Programming Paradigm and Runtime Stack for Building Scale-Out Production Applications Easy and Fast
IEEE Computer Architecture Letters
2023/5/18
Jason Mars
H-Index: 30
Lingjia Tang
H-Index: 30
Systems and methods for intelligently configuring and deploying a control structure of a machine learning-based dialogue system
2022/10/25
One agent to rule them all: Towards multi-agent conversational AI
arXiv preprint arXiv:2203.07665
2022/3/15
Towards Personalized Intelligence at Scale
arXiv preprint arXiv:2203.06668
2022/3/13
System and method for implementing an artificially intelligent virtual assistant using machine learning
2021/8/19
Systems and methods for automatically categorizing unstructured data and improving a machine learning-based dialogue system
2021/6/24
Systems and methods for automatically detecting and repairing slot errors in machine learning training data for a machine learning-based dialogue system
2021/2/23
Systems and methods for constructing an artificially diverse corpus of training data samples for training a contextually-biased model for a machine learning-based dialogue system
2020/10/6
Systems and methods for machine learning-based multi-intent segmentation and classification
2020/11/3
A benchmarking framework for interactive 3d applications in the cloud
2020/10/17
Systems and methods for intelligently curating machine learning training data and improving machine learning model performance
2020/6/9
Systems and methods for automatically configuring training data for training machine learning models of a machine learning-based dialogue system
2020/6/9
Co-Authors
