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researcher

Jingyi Zheng

14 papers hereh-index 596 citations17 works total

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

author position
  • first author4
  • middle author8
  • last author1

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CR4
  • cs.AI2
  • cs.LG2
  • cs.CE1
  • cs.CY1
same name
  • Jingyi Zheng — 9 papers
  • Jingyi Zheng — 8 papers, h 12
  • Jingyi Zheng — 4 papers, h 3
  • Jingyi Zheng — 2 papers, h 2
  • Jingyi Zheng — 1 paper, h 5
  • Jingyi Zheng — 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

most citedZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities

1 citations · 1 across the 12 of their papers we have counts for

collaborators
Showing cs.CRShow all

4 papers · 1 filter

cs.CR2026

On the Generation and Mitigation of Harmful Geometry in Image-to-3D Models

Yule Liu, Yilong Yang, Jiale Teng +11

Recent advances in image-to-3D models have significantly improved the fidelity and accessibility of 3D content creation. Such a powerful reconstruction capability that enables crea…

cs.CR2025

JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models

Zifan Peng, Yule Liu, Zhen Sun +9

Large Audio Language Models (LALMs) have made significant progress. While increasingly deployed in real-world applications, LALMs face growing safety risks from jailbreak attacks t…

cs.CR2025

TH-Bench: Evaluating Evading Attacks via Humanizing AI Text on Machine-Generated Text Detectors

Jingyi Zheng, Junfeng Wang, Zhen Sun +3

As Large Language Models (LLMs) advance, Machine-Generated Texts (MGTs) have become increasingly fluent, high-quality, and informative. Existing wide-range MGT detectors are design…

cs.CR2025

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search

Zeren Luo, Zifan Peng, Yule Liu +4

Recent advancements in Large Language Models (LLMs) have significantly enhanced the capabilities of AI-Powered Search Engines (AIPSEs), offering precise and efficient responses by…

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