Natural Language Processing
Much of the information that can help transform enterprises is locked away in text, like documents, tables, and charts. We’re building advanced AI systems that can parse vast bodies of text to help unlock that data, but also ones flexible enough to be applied to any language problem.
Our work
IBM Granite has new experimental features for developers to test
NewsKim MartineauA new tool to unlock data from enterprise documents for generative AI
NewsKim MartineauServing customized AI models at scale with LoRA
ResearchKim MartineauAn air traffic controller for LLMs
ExplainerKim MartineauWhy we’re teaching LLMs to forget things
ExplainerKim MartineauTeaching AI models to improve themselves
ResearchPeter Hess- See more of our work on Natural Language Processing
Publications
- Ryan Zhang
- Herbert Woisetschläger
- et al.
- 2024
- NeurIPS 2024
- William Brandon
- Mayank Mishra
- et al.
- 2024
- NeurIPS 2024
- Paul Soulos
- Aleksandar Terzic
- et al.
- 2024
- NeurIPS 2024
- Irene Ko
- Sihui Dai
- et al.
- 2024
- NeurIPS 2024
- Jonathan Thomm
- Aleksandar Terzic
- et al.
- 2024
- NeurIPS 2024
- Irene Huang
- Wei Lin
- et al.
- 2024
- NeurIPS 2024