IBM Granite led open-source LLMs on API calling
News
Kim Martineau
Conversational AI
The demand for virtual agents that can handle customer needs has continued to increase dramatically. At IBM Research, we’re building the next generation of artificial intelligence systems that can understand what’s being asked of them and how best to respond as efficiently as possible.
Our work
Putting more knowledge at the fingertips of non-English speakers
ReleaseKim MartineauProject Debater argues for key point analysis of surveys, reviews, and social media
ReleaseNoam Slonim, Yoav Katz, Roy Bar-Haim, and Elad Venezian5 minute read
Publications
Position: Theory of Mind Benchmarks are Broken for Large Language Models
- Matthew Riemer
- Zahra Ashktorab
- et al.
- 2025
- ICML 2025
Voice-based AI Agents: Filling the Economic Gaps in Digital Health Delivery
Improving LLM-Powered EDA Assistants with RAFT
- Luyao Shi
- Michael Kazda
- et al.
- 2025
- ICLAD 2025
ChemQuery: A Natural Language Query-driven Service for Comprehensive Exploration of Chemistry Patent Literature
- Shubham Gupta
- Rafael Teixeira de Lima
- et al.
- 2025
- Appl. AI Lett.
InspectorRAGet: An Introspection Platform for RAG Evaluation
- Benjamin Sznajder
- Kshitij Fadnis
- et al.
- 2025
- NAACL 2025
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models
- Sonam Mishra
- Yatin Nandwani
- et al.
- 2025
- NAACL 2025
IBM Solution: AI for Customer Service
Innovations from our team were developed into Watson Assistant, IBM’s AI for customer service. It’s the industry’s leading conversational AI platform that customers, human agents, and employees actually want to use.
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