Ontology-Driven Control of Conversational Agents with a Use-Case for Job Interview Practice
arXiv cs.AI · Barbara Gendron (LORIA, UL), Ga\"el Guibon (LIPN, LORIA), Mathieu D'aquin (LORIA, UL) ·
arXiv:2611.09282v1 Announce Type: new Abstract: Large Language Models (LLMs) have been widely used as conversational agents in both domain-specific and open-domain situations. In domain-specific context, it is often necessary to adapt those LLMs to obtain conversations with desired characteristics, whether those…
Excerpt provided by arXiv cs.AI via its public feed. Full reporting belongs to the original publisher.
Read the full story on arXiv cs.AI
Related coverage
The Decoder · 40m ago
Gemini 4 Carbon arrives just in time to feel like yesterdays news in the fastest model cycle yet
Ars Technica AI · 3h ago
DeepMind reveals Gemini Robotics 2.5 and open safety benchmark "ASIMOV-jailbreak"
Google DeepMind · 6h ago
Introducing AlphaProof Code: a breakthrough in verifying complex software at depth
OpenAI · 9h ago
Closing the AI guidance gap in education