All decisions have trade-offs. IBM’s Wei Sun is an expert at weighing them
Q & A
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
Debugging LLMs to improve their credibility
ResearchKim MartineauCan LLMs learn social skills by playing games?
ResearchKim MartineauHow IBM’s Kush Varshney became the face of the modern ‘camera man’
Q & AKim MartineauIBM’s new benchmark puts industrial agents to the test
ResearchKim MartineauLossless compression tailored for AI
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
Spoken question answering for visual queries
- Nimrod Shabtay
- Zvi Kons
- et al.
- 2025
- INTERSPEECH 2025
Exploring the Limits of Conformer CTC-Encoder for Speech Emotion Recognition using Large Language Models
- Edmilson Da Silva Morais
- Hagai Aronowitz
- et al.
- 2025
- INTERSPEECH 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
Fine-tuning for Extreme Event Prediction: Are Ensemble Methods All You Need?
- 2025
- KDD 2025
ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages
- Mehant Kammakomati
- Sameer Pimparkhede
- et al.
- 2025
- ACL 2025