IBM’s new benchmark puts industrial agents to the test
Research
Kim Martineau
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
Lossless compression tailored for AI
ResearchKim MartineauIBM Granite Vision tops the chart for small models in document understanding
NewsMike MurphyIBM’s Dmitry Krotov wants to crack the ‘physics’ of memory
ResearchKim MartineauA faster way to screen supply chains for harmful chemicals
ResearchKim MartineauA 360 review of AI agent benchmarks
ResearchKim Martineau- See more of our work on Generative AI
Publications
3rd TrustAI Workshop: Building Public Awareness and Engagement
- Miriam Rateike
- Brian Mboya
- et al.
- 2025
- DLI 2025
Learnable Channel Converter for Multi-Spectral Image to RGB Visualization using a Vision-Text Model
- Haoxiang Qiu
- Tomoya Sakai
- et al.
- 2025
- IGARSS 2025
ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages
- Mehant Kammakomati
- Sameer Pimparkhede
- et al.
- 2025
- ACL 2025
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
- Ivoline Ngong
- Swanand Ravindra Kadhe
- et al.
- 2025
- ACL 2025
Multi-Level Explanations for Generative Language Models
- Lucas Monteiro Paes
- Dennis Wei
- et al.
- 2025
- ACL 2025
EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts
- 2025
- ACL 2025