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
IBM Granite led open-source LLMs on API calling
NewsKim MartineauPutting 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
Diagnosing and Prioritizing Issues in Automated Order-Taking Systems: A Machine-Assisted Error Discovery Approach
- Maeda Hanafi
- Frederick Reiss
- et al.
- 2025
- CHI 2025
Creating Conversational Datasets for Retrieval-Augmented Generation Applications is Hard: Challenges & Research Opportunities
- Maeda Hanafi
- Kshitij Fadnis
- et al.
- 2025
- CHI 2025
Controlling AI Agent Participation in Group Conversations: A Human-Centered Approach
- Stephanie Houde
- Krissy Brimijoin
- et al.
- 2025
- IUI 2025
Designing an Agentic AI Assistant for Chemical Discovery
- Siya Kunde
- Stephanie Houde
- et al.
- 2025
- IUI 2025
ChemChat | Democratizing Access to Domain-Specific AI/ML through LLM-powered Conversa-tional Assistants
- Tim Erdmann
- Stefan Zecevic
- et al.
- 2025
- ACS Spring 2025
Natural Language-Driven Virtual Screening: Enhancing Drug Discovery with LLMs and Biomedical Foundation Models
- Tim Erdmann
- Holt Bui
- et al.
- 2025
- ACS Spring 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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