most citedZero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion

8 citations · 11 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2023

On the Discussion of Large Language Models: Symmetry of Agents and Interplay with Prompts

Qineng Wang, Zihao Wang, Ying Su +1

Two ways has been discussed to unlock the reasoning capability of a large language model. The first one is prompt engineering and the second one is to combine the multiple inferenc…

cs.IT2023

Distributed Matrix Multiplication with a Smaller Recovery Threshold through Modulo-based Approaches

Zhiquan Tan, Dingli Yuan, Zihao Wang +1

This paper considers the problem of calculating the matrix multiplication of two massive matrices and distributedly. We provide a modulo technique that ca…

cs.AI20232 cited

-CQA: Towards Knowledge Graph Complex Query Answering beyond Set Operation

Hang Yin, Zihao Wang, Weizhi Fei +1

To answer complex queries on knowledge graphs, logical reasoning over incomplete knowledge is required due to the open-world assumption. Learning-based methods are essential becaus…

cs.AI20231 cited

Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport

Zihao Wang, Weizhi Fei, Hang Yin +3

Answering complex queries on knowledge graphs is important but particularly challenging because of the data incompleteness. Query embedding methods address this issue by learning-b…

cs.LG2023

SEAL: Simultaneous Label Hierarchy Exploration And Learning

Zhiquan Tan, Zihao Wang, Yifan Zhang

Label hierarchy is an important source of external knowledge that can enhance classification performance. However, most existing methods rely on predefined label hierarchies that m…

cs.CL2023

Ericson: An Interactive Open-Domain Conversational Search Agent

Zihao Wang, Ali Ahmadvand, Jason Choi +2

Open-domain conversational search (ODCS) aims to provide valuable, up-to-date information, while maintaining natural conversations to help users refine and ultimately answer inform…