activity
20182023
most citedA Challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Systems

8 citations · 36 across the 17 of their papers we have counts for

collaborators

17 papers

cs.CL2023

Healing Unsafe Dialogue Responses with Weak Supervision Signals

Zi Liang, Pinghui Wang, Ruofei Zhang +3

Recent years have seen increasing concerns about the unsafe response generation of large-scale dialogue systems, where agents will learn offensive or biased behaviors from the real…

cs.CL2023

Knowledge-Retrieval Task-Oriented Dialog Systems with Semi-Supervision

Yucheng Cai, Hong Liu, Zhijian Ou +2

Most existing task-oriented dialog (TOD) systems track dialog states in terms of slots and values and use them to query a database to get relevant knowledge to generate responses.…

cs.CL2023

Multi-Action Dialog Policy Learning from Logged User Feedback

Shuo Zhang, Junzhou Zhao, Pinghui Wang +5

Multi-action dialog policy, which generates multiple atomic dialog actions per turn, has been widely applied in task-oriented dialog systems to provide expressive and efficient sys…

cs.CL2022

A Generative User Simulator with GPT-based Architecture and Goal State Tracking for Reinforced Multi-Domain Dialog Systems

Hong Liu, Yucheng Cai, Zhijian Ou +2

Building user simulators (USs) for reinforcement learning (RL) of task-oriented dialog systems (DSs) has gained more and more attention, which, however, still faces several fundame…

cs.CL2022

Information Extraction and Human-Robot Dialogue towards Real-life Tasks: A Baseline Study with the MobileCS Dataset

Hong Liu, Hao Peng, Zhijian Ou +3

Recently, there have merged a class of task-oriented dialogue (TOD) datasets collected through Wizard-of-Oz simulated games. However, the Wizard-of-Oz data are in fact simulated da…

cs.CL2022★ 5 cited

PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling

Guanting Dong, Daichi Guo, Liwen Wang +10

Most existing slot filling models tend to memorize inherent patterns of entities and corresponding contexts from training data. However, these models can lead to system failure or…