Zeroth-Order Machine Learning: Fundamental Principles and Emerging Applications in Foundation Models
- Sijia Liu
- Zhangyang Wang
- et al.
- 2024
- ICASSP 2024
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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- Foundation Models
571 results for Foundation Models
Parameter-Efficient and Prompt Learning for Speech and Language Foundation Models
- Chao-han Huck Yang
- Pin-Yu Chen
- et al.
- 2024
- ICASSP 2024
Models that learn the language of molecules and how to use them to predict their properties
- 2024
- SECUAH 2024
Training Large Language Encoders with the Curated Carolina Corpus
- Guilherme Lamartine Mello
- Paulo Rodrigo Cavalin
- et al.
- 2024
- PROPOR 2024
Infusing Knowledge into Large Language Models with Contextual Prompts
- Kinshuk Vashist
- Balaji Ganesan
- et al.
- 2023
- ICON 2023
Locally Differentially Private Document Generation Using Zero Shot Prompting
- Saiteja Utpala
- Sara Hooker
- et al.
- 2023
- EMNLP 2023
Towards large language model-based personal agents in the enterprise: Current trends and open problems
- Vinod Muthusamy
- Yara Rizk
- et al.
- 2023
- EMNLP 2023
Scaling Foundation Models: Paving the Future Path for Enterprise AI
- 2023
- IEEE ADACIS 2023
Unleashing the Potential of Data Lakes with Semantic Enrichment using Foundation Models
- Nandana Mihindukulasooriya
- Sarthak Dash
- et al.
- 2023
- ISWC 2023
Resource-Efficient and Cross-Modal Learning Toward Foundation Models
- Pin-Yu Chen
- Chao-han Huck Yang
- et al.
- 2023
- INTERSPEECH 2023