activity
20172024
most citedLearning to Select Knowledge for Response Generation in Dialog Systems

23 citations · 37 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CL2024

Dialogue Language Model with Large-Scale Persona Data Engineering

Mengze Hong, Chen Jason Zhang, Chaotao Chen +2

Maintaining persona consistency is paramount in the application of open-domain dialogue systems, as exemplified by models like ChatGPT. Despite significant advancements, the limite…

cs.SD2024

Acoustic Model Optimization over Multiple Data Sources: Merging and Valuation

Victor Junqiu Wei, Weicheng Wang, Di Jiang +2

Due to the rising awareness of privacy protection and the voluminous scale of speech data, it is becoming infeasible for Automatic Speech Recognition (ASR) system developers to tra…

cs.CL201910 cited

DAL: Dual Adversarial Learning for Dialogue Generation

Shaobo Cui, Rongzhong Lian, Di Jiang +3

In open-domain dialogue systems, generative approaches have attracted much attention for response generation. However, existing methods are heavily plagued by generating safe respo…

cs.CL20191 cited

Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment

Siqi Bao, Huang He, Fan Wang +2

In this paper, a novel Generation-Evaluation framework is developed for multi-turn conversations with the objective of letting both participants know more about each other. For the…

cs.CL2019

Proactive Human-Machine Conversation with Explicit Conversation Goals

Wenquan Wu, Zhen Guo, Xiangyang Zhou +4

Though great progress has been made for human-machine conversation, current dialogue system is still in its infancy: it usually converses passively and utters words more as a matte…

cs.LG2019

Artificial Intelligence for Prosthetics - challenge solutions

Łukasz Kidziński, Carmichael Ong, Sharada Prasanna Mohanty +47

In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a goal of matching a giv…