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Continual dialogue state tracking via reason-of-select distillation
An ideal dialogue system requires continuous skill acquisition and adaptation to new tasks
while retaining prior knowledge. Dialogue State Tracking (DST), vital in these systems, often …
while retaining prior knowledge. Dialogue State Tracking (DST), vital in these systems, often …
Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation
We investigate non-collaborative dialogue agents, which are expected to engage in
strategic conversations with diverse users, for securing a mutual agreement that leans …
strategic conversations with diverse users, for securing a mutual agreement that leans …
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues
Recent advancements in proactive dialogues have garnered significant attention,
particularly for more complex objectives (eg emotion support and persuasion). Unlike …
particularly for more complex objectives (eg emotion support and persuasion). Unlike …
Sparse Rewards Can Self-Train Dialogue Agents
Recent advancements in state-of-the-art (SOTA) Large Language Model (LLM) agents,
especially in multi-turn dialogue tasks, have been primarily driven by supervised fine-tuning …
especially in multi-turn dialogue tasks, have been primarily driven by supervised fine-tuning …
Active Utterance Collection Based on Multi-armed Bandits for Natural Language Understanding in Dialog Systems
R Yang, K Wakabayashi - … Conference on Information Integration and Web …, 2025 - Springer
Training natural language understanding (NLU) models for dialog systems requires
collecting user utterances as training data. Unlike general classification or sequence …
collecting user utterances as training data. Unlike general classification or sequence …
[PDF][PDF] Dynamic Prompting: Large Language Models for Task Oriented Dialog
Abstract Large Language Models show impressive results in many different applications,
most notably in the context of questionanswering and open dialog situations. However, it is …
most notably in the context of questionanswering and open dialog situations. However, it is …
Automated Construction of Chain-of-Thought in Task-Oriented Dialogue Systems
M Ren, Y Wu, F Peng - 2024 6th International Conference on …, 2024 - ieeexplore.ieee.org
Large language models play a pivotal role in addressing human problem-solving
challenges, particularly in the context of dialogue systems where they are employed to …
challenges, particularly in the context of dialogue systems where they are employed to …