|
|
- ProTOD: Proactive Task-oriented Dialogue System Based on Large Language . . .
To address these issues, we propose ProTOD, a novel LLM-based proactive TOD framework designed to improve system proactivity and goal completion First, we design an adaptive exploratory retrieval mechanism to dynamically navigate domain knowledge
- GitHub - melonhh ProTOD: ProTOD: Proactive Task-oriented Dialogue . . .
ProTOD: Proactive Task-oriented Dialogue System Based on Large Language Model - melonhh ProTOD
- [2309. 08949] Enhancing Large Language Model Induced Task-Oriented . . .
To fill these gaps, we introduce the ProToD (Proactively Goal-Driven LLM-Induced ToD) approach, which anticipates the future dialogue actions and incorporates the goal-oriented reward signal to enhance ToD systems
- protod · PyPI
protod 24 4 10 pip install protod Copy PIP instructions Latest version Released: Apr 10, 2024
- ProToD : Une nouvelle approche des systèmes de dialogue orientés tâche
To fill these gaps, we introduce the ProToD (Proactively Goal-Driven LLM-Induced ToD) approach, which anticipates the future dialogue actions and incorporates the goal-oriented reward signal to enhance ToD systems
- ProTOD: Proactive Task-oriented Dialogue System Based on . . . - Researchr
ProTOD: Proactive Task-oriented Dialogue System Based on Large Language Model In Owen Rambow, Leo Wanner, Marianna Apidianaki, Hend Al-Khalifa 0001, Barbara Di Eugenio, Steven Schockaert, editors, Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025, Abu Dhabi, UAE, January 19-24, 2025 pages 9147-9164
- [2309. 08949] Enhancing Large Language Model Induced Task . . . - ar5iv
We propose the ProToD (Proactively Goal-Driven LLM-Induced ToD) approach which anticipates future dialogue actions and integrates a goal-oriented reward signal, enhancing the efficiency and success of ToD systems
- Table 1 from Enhancing Large Language Model Induced Task-Oriented . . .
This work introduces the ProToD (Proactively Goal-Driven LLM-Induced ToD) approach, which anticipates the future dialogue actions and incorporates the goal-oriented reward signal to enhance ToD systems and presents a novel evaluation method that assesses toD systems based on goal-driven dialogue simulations
|
|
|