activity
20112021
most citedMALA: Cross-Domain Dialogue Generation with Action Learning

19 citations · 43 across the 14 of their papers we have counts for

collaborators

14 papers

cs.DB2021★ 1 cited

ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index

Yang Song, Yu Gu, Rui Zhang +1

Due to the wide applications in recommendation systems, multi-class label prediction and deep learning, the Maximum Inner Product (MIP) search problem has received extensive attent…

cs.DS2021

Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push

Hao Wu, Junhao Gan, Zhewei Wei +1

Personalized PageRank (PPR) is a critical measure of the importance of a node t to a source node s in a graph. The Single-Source PPR (SSPPR) query computes the PPR's of all the nod…

cs.CL2020

Generalizable and Explainable Dialogue Generation via Explicit Action Learning

Xinting Huang, Jianzhong Qi, Yu Sun +1

Response generation for task-oriented dialogues implicitly optimizes two objectives at the same time: task completion and language quality. Conditioned response generation serves a…

cs.CL2020★ 3 cited

GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems

Shiquan Yang, Rui Zhang, Sarah Erfani

End-to-end task-oriented dialogue systems aim to generate system responses directly from plain text inputs. There are two challenges for such systems: one is how to effectively inc…

cs.DB2020★ 3 cited

BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances

Yang Song, Yu Gu, Rui Zhang +1

Bregman distances (also known as Bregman divergences) are widely used in machine learning, speech recognition and signal processing, and kNN searches with Bregman distances have be…

cs.CL2020★ 1 cited

Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation

Xinting Huang, Jianzhong Qi, Yu Sun +1

Dialogue policy optimization often obtains feedback until task completion in task-oriented dialogue systems. This is insufficient for training intermediate dialogue turns since sup…