A study presented at the 2026 Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) finds that large language models used as role-playing agents exhibit a trade-off between …
Researchers Henry Gao and Jinho D. Choi have developed a task-oriented dialogue system that uses large language models with in-context prompting and unstructured conversational logs, eliminating the n…
A survey by Michelle Elizabeth, Gwénolé Lecorvé, Lina M. Rojas Barahona, and Magalie Ochs, presented at the 27th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) in Aug…
Researchers from Sorbonne Université and CNRS have developed the first reinforcement learning-based dialogue manager for simulated group motivational interviewing, using a discrete Soft-Actor-Critic p…
A study of 49 programmers interacting with GitHub Copilot to assess 148 HIPAA-derived Non-Functional Requirements against the iTrust codebase found that developers tend to agree with LLM assessments, …
Researchers from an unnamed institution presented ArgAssist, an LLM-based system for structured argumentative discourse generation in insurance disputes, at the 27th Annual Meeting of the Special Inte…
Researchers at the Association for Computational Linguistics presented a conceptual framework for analyzing dialogue in collaborative problem-solving contexts, with a focus on human-AI and multi-agent…
Yash Raj Singh presents CrossOracle, a production-deployed spoken dialogue system for real-time Hinglish voice interaction across eleven Expert Persona identities, achieving a mean TTS Real-Time Facto…