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Jieping Ye

24 papers hereh-index 12553 citations34 works total

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

author position
  • middle author2
  • last author22

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • cs.CL15
  • cs.AI4
  • cs.CV3
  • cs.LG2
same name
  • Jieping Ye — 17 papers, h 4
  • Jieping Ye — 14 papers, h 8
  • Jieping Ye — 14 papers, h 9
  • Jieping Ye — 11 papers, h 6
  • Jieping Ye — 6 papers, h 7
  • Jieping Ye — 6 papers, h 5

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
20242026
collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

When Refusal Looks Safe: The Refusal-Cue Shortcut in Safety Guard Models

Yu Feng, Chunting Zang, Chen Shen +4

Safety guards are widely used to filter harmful content and are typically trained via supervised fine-tuning on labeled prompt-response pairs. We audit two widely used safety-guard…

cs.AI2026

Purified OPSD: On-Policy Self-Distillation Without Losing How to Think

Zhanming Shen, Jintao Tong, Shaotian Yan +9

On-policy self-distillation (OPSD) has emerged as a promising paradigm for improving LLM reasoning, where a privileged teacher with access to reference solutions provides token-lev…

cs.AI2026

MPDocBench-Parse: Benchmarking Practical Multi-page Document Parsing

Bangbang Zhou, Hangdi Xing, Yifan Chen +8

Document parsing converts visually rich documents into machine-readable structured representations, forming a crucial foundation for information systems. Although many benchmarks h…

cs.AI2025

SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning

Yue Xin, Chen Shen, Shaotian Yan +5

Chain-of-Thought (CoT) prompting enhances the math reasoning capability of large language models (LLMs) to a large margin. However, the mechanism underlying such improvements remai…

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