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Ji-Tao Sang

14 papers hereh-index 5160 citations21 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author13

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.IR5
  • cs.AI3
  • cs.CV3
  • cs.HC1
  • cs.MM1
  • cs.SI1

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedA LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems

2 citations · 4 across the 10 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2024

A Disguised Wolf Is More Harmful Than a Toothless Tiger: Adaptive Malicious Code Injection Backdoor Attack Leveraging User Behavior as Triggers

Shangxi Wu, Jitao Sang

In recent years, large language models (LLMs) have made significant progress in the field of code generation. However, as more and more users rely on these models for software deve…

cs.AI2024

Exploring the Privacy Protection Capabilities of Chinese Large Language Models

Yuqi Yang, Xiaowen Huang, Jitao Sang

Large language models (LLMs), renowned for their impressive capabilities in various tasks, have significantly advanced artificial intelligence. Yet, these advancements have raised…

cs.AI2024

How Reliable is Your Simulator? Analysis on the Limitations of Current LLM-based User Simulators for Conversational Recommendation

Lixi Zhu, Xiaowen Huang, Jitao Sang

Conversational Recommender System (CRS) interacts with users through natural language to understand their preferences and provide personalized recommendations in real-time. CRS has…

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