Generative AI
Generative AI is revolutionizing how the world computes, but there are still roadblocks for scaling to solve real business problems. At IBM Research, we’re working on trustworthy models, software, and infrastructure to allow any business to harness the power of generative AI.
Our work
BeeAI now has multiple agents, and a standardized way for them to talk
ResearchKim MartineauAI and quantum computing: How IBM showed up at SXSW 2025
NewsMike MurphyIBM’s Mikhail Yurochkin wants to make AI’s “cool” factor tangible
ResearchKim MartineauIBM Granite now has eyes
ResearchKim MartineauIBM’s new benchmark changes monthly to avoid teaching to the test
ResearchKim MartineauA benchmark for evaluating conversational RAG
ResearchKim Martineau- See more of our work on Generative AI
Publications
Can LLMs Replace Manual Annotation of Software Engineering Artifacts?
- Toufique Ahmed
- Premkumar Devanbu
- et al.
- 2025
- MSR 2025
Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation
- 2025
- CHI 2025
Examining the Use and Impact of an AI Code Assistant on Developer Productivity and Experience in the Enterprise
- Justin Weisz
- Shraddha Kumar
- et al.
- 2025
- CHI 2025
TabWak: A Watermark for Tabular Diffusion Models
- Chaoyi Zhu
- Jiayi Tang
- et al.
- 2025
- ICLR 2025
SafeMERGE: Preserving Safety Alignment in Fine-Tuned Large Language Models via Selective Layer-Wise Model Merging
- Aladin Djuhera
- Swanand Ravindra Kadhe
- et al.
- 2025
- ICLR 2025
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
- Anming Gu
- Edward Chien
- et al.
- 2025
- ICLR 2025