Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning
Framework for Dialogue

Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue

10 February 2024

Jian Wang

Papers citing "Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue"

4 / 4 papers shown

Title
DeepThink: Aligning Language Models with Domain-Specific User Intents Yang Li Mingxuan Luo Yeyun Gong Chen Lin Jian Jiao Yi Liu Kaili Huang LRM ALM ELM 52 0 0 08 Feb 2025
Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration Yang Deng Lizi Liao Liang Chen Hongru Wang Wenqiang Lei Tat-Seng Chua 84 72 0 23 May 2023
Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System Libo Qin Tianbao Xie Shijue Huang Qiguang Chen Xiao Xu Wanxiang Che 42 20 0 23 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021