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Junle Wang

4 papers hereh-index 251 citations4 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.AI2
  • cs.CL1
  • cs.CR1
same name
  • Junle Wang — 12 papers, h 18
  • Junle Wang — 6 papers, h 7
  • Junle Wang — 3 papers, h 3
  • Junle Wang — 3 papers, h 1

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
most citedAttacking Transformers with Feature Diversity Adversarial Perturbation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2026

Planning Beyond Text: Graph-based Reasoning for Complex Narrative Generation

Hanwen Gu, Chao Guo, Junle Wang +2

While LLMs demonstrate remarkable fluency in narrative generation, existing methods struggle to maintain global narrative coherence, contextual logical consistency, and smooth char…

cs.AI2025

Plug-and-Play Dramaturge: A Divide-and-Conquer Approach for Iterative Narrative Script Refinement via Collaborative LLM Agents

Wenda Xie, Chao Guo, Yanqing Jing +3

Although LLMs have been widely adopted for creative content generation, a single-pass process often struggles to produce high-quality long narratives. How to effectively revise and…

cs.AI2025

Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning

Jie Cheng, Gang Xiong, Ruixi Qiao +5

Process reward models (PRMs) have proven effective for test-time scaling of Large Language Models (LLMs) on challenging reasoning tasks. However, reward hacking issues with PRMs li…

cs.CR2024★ 1 cited

Attacking Transformers with Feature Diversity Adversarial Perturbation

Chenxing Gao, Hang Zhou, Junqing Yu +4

Understanding the mechanisms behind Vision Transformer (ViT), particularly its vulnerability to adversarial perturba tions, is crucial for addressing challenges in its real-world a…

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