◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yucheng Jin

Duke Kunshan University

4 papers hereh-index 17732 citations37 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.HC2
  • cs.CL1
  • cs.CR1
affiliations
  • Duke Kunshan University
same name
  • Yucheng Jin — 3 papers, h 10
  • Yucheng Jin — 2 papers, h 2
  • Yucheng Jin — 1 paper, h 1
  • Yucheng Jin — 1 paper, h 2
  • Yucheng Jin — 1 paper, h 1
  • Yucheng Jin — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedImpacts of Personal Characteristics on User Trust in Conversational Recommender Systems

53 citations · 53 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2026

How Far Do Persona Effects Generalize in Language Models?

Yufan Zhou, Yuxuan Liu, Enze Ma +6

Persona prompts ask language models to answer as particular kinds of people. We test whether relationships learned from these effects predict responses to new questions and remain…

cs.HC2026

How Personal Characteristics Shape User Exploration of Diverse Movie Recommendations with a LLM-Based Multi-Agent System

Yufan Zhou, Yirui Huang, Zhao Wang +1

Diversity is an important evaluation criterion for recommender systems beyond accuracy, yet users differ in their willingness to engage with novel and diverse content. In this work…

cs.CR2023

NFT.mine: An xDeepFM-based Recommender System for Non-fungible Token (NFT) Buyers

Shuwei Li, Yucheng Jin, Pin-Lun Hsu +1

Non-fungible token (NFT) is a tradable unit of data stored on the blockchain which can be associated with some digital asset as a certification of ownership. The past several years…

cs.HC2022★ 53 cited

Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems

Wanling Cai, Yucheng Jin, Li Chen

Conversational recommender systems (CRSs) imitate human advisors to assist users in finding items through conversations and have recently gained increasing attention in domains suc…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.