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
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
- Ivoline Ngong
- Swanand Ravindra Kadhe
- et al.
- 2025
- ACL 2025
R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory
- Tenghao Huang
- Kinjal Basu
- et al.
- 2025
- ACL 2025
Combining Domain and Alignment Vectors Provides Better Knowledge-Safety Trade-offs in LLMs
- Megh Thakkar
- Quentin Fournier
- et al.
- 2025
- ACL 2025
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
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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