activity
20212026
most citedOne Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles

67 citations · 99 across the 5 of their papers we have counts for

collaborators

6 papers

cs.NI2026

Shortcut in Generalization: Rethinking Evaluation Protocol for Encrypted Traffic Classification

Qiming Yu, Chungang Lin, Zhengyi Ma +4

Encrypted traffic classification is commonly evaluated under a range of experimental protocols, with classification performance reported as the primary measure. However, the report…

cs.CL2022★ 1 cited

MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling

Zhaoheng Huang, Zhicheng Dou, Yutao Zhu +1

Personalized chatbots focus on endowing the chatbots with a consistent personality to behave like real users and further act as personal assistants. Previous studies have explored…

cs.IR2022

Socialformer: Social Network Inspired Long Document Modeling for Document Ranking

Yujia Zhou, Zhicheng Dou, Huaying Yuan +1

Utilizing pre-trained language models has achieved great success for neural document ranking. Limited by the computational and memory requirements, long document modeling becomes a…

cs.CL2021★ 67 cited

One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles

Zhengyi Ma, Zhicheng Dou, Yutao Zhu +2

Personalized chatbots focus on endowing chatbots with a consistent personality to behave like real users, give more informative responses, and further act as personal assistants. E…

cs.IR2021★ 30 cited

Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking

Yutao Zhu, Jian-Yun Nie, Zhicheng Dou +5

Context information in search sessions has proven to be useful for capturing user search intent. Existing studies explored user behavior sequences in sessions in different ways to…

cs.IR2021★ 1 cited

Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need

Zhengyi Ma, Zhicheng Dou, Wei Xu +4

Designing pre-training objectives that more closely resemble the downstream tasks for pre-trained language models can lead to better performance at the fine-tuning stage, especiall…