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Jing Jin

4 papers hereh-index 361 citations7 works total

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

author position
  • middle author4

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

fields
  • cs.CL3
  • cs.HC1
same name
  • Jing Jin — 22 papers, h 13
  • Jing Jin — 11 papers, h 12
  • Jing Jin — 9 papers, h 6
  • Jing Jin — 4 papers, h 49
  • Jing Jin — 4 papers, h 12
  • Jing Jin — 4 papers, h 3

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

most citedLarge Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement

7 citations · 13 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2026

Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM Hallucinations

Wen Luo, Guangyue Peng, Wei Li +8

Despite their impressive capabilities, large language models (LLMs) frequently generate hallucinations. Previous work shows that their internal states encode rich signals of truthf…

cs.CL2025★ 7 cited

Large Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement

Haoran Ye, Jing Jin, Yuhang Xie +2

The advancement of large language models (LLMs) has outpaced traditional evaluation methodologies. This progress presents novel challenges, such as measuring human-like psychologic…

cs.HC2025★ 6 cited

ArtMentor: AI-Assisted Evaluation of Artworks to Explore Multimodal Large Language Models Capabilities

Chanjin Zheng, Zengyi Yu, Yilin Jiang +4

Can Multimodal Large Language Models (MLLMs), with capabilities in perception, recognition, understanding, and reasoning, function as independent assistants in art evaluation dialo…

cs.CL2025

CiteCheck: Towards Accurate Citation Faithfulness Detection

Ziyao Xu, Shaohang Wei, Zhuoheng Han +6

Citation faithfulness detection is critical for enhancing retrieval-augmented generation (RAG) systems, yet large-scale Chinese datasets for this task are scarce. Existing methods…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.