Elamur Research⌕
☰
home / authors / Zhaolu Kang

Zhaolu Kang

Zhaolu Kang has 5 papers in our library, in 2026, most of them on Evaluation & benchmarks, Reasoning, Vision & language; often with Guojie Song, Haonan Dong, Kehan Jiang.

5 papers in our library · 2026

OpenAlex · h-index 3 · 59 works · 25 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 39 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #8223

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Peking UniversityBeijing · China2025–2026 · 34 paperscurrent🎓Jilin UniversityChangchun · China2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 10The field of science this work belongs to (OpenAlex fields).Computer Science · 5 worksArts and Humanities · 4 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 2 worksHuman-Computer Interaction · 1 workInformation Systems · 1 workSoftware · 1 workSocial Sciences · 1 workSafety Research · 1 work

🧭 Topics 5Research subjects and languages the work is about.Reasoning · 2 worksEvaluation & benchmarks · 2 worksVision & language · 2 worksBias, fairness & safety · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20265 papers

 Papers

The most cited first (OpenAlex and our library).

  1. FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning Models (2026 · 15 citations)
    Large Reasoning Models such as DeepSeek-R1 often produce several alternative solutions inside a single chain of thought.
  2. NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons (2026 · 13 citations)
    Large Reasoning Models still make three kinds of mistakes. Within a step, they get calculations or derivations wrong. Across steps, they loop or stall. At the instance level, they over-think easy questions. Earlier fixes target only one of these, rely on opaque RL training, and offer little insight or control.
  3. MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents (2026 · 6 citations)
    Mobile agents driven by multimodal LLMs usually act only through the interface: they tap, swipe and type step by step. This is flexible but slow. Shortcuts such as APIs, deep-links and RPA scripts can skip whole sequences of GUI steps, but no benchmark has systematically tested agents that mix the two.
  4. When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily Life (2026 · 1 citation)
    Multimodal LLMs are increasingly used as everyday assistants. Their answers can steer people into risky actions even when the user has no harmful intent. Most existing safety benchmarks target jailbreaks or explicit harm, and implicit-risk sets tend to be small or artificial. The authors introduce SaLAD, a benchmark…
  5. “Penny Wise, Pixel Foolish”: Bypassing Price Constraints in Multimodal Agents via Visual Adversarial Perturbations (2026 · 1 citation)
    The paper examines how vulnerable screenshot-driven mobile shopping agents are when a user sets a price limit, for example "buy the cheapest".

All works

8 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

  1. FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Kehan Jiang, Haonan Dong, Zhaolu Kang, et al.2026 · 15 citations
  2. NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-NeuronsAnnual Meeting of the Association for Computational Linguistics (ACL)Haonan Dong, Kehan Jiang, Haoran Ye, et al.2026 · 13 citations
  3. MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Pengxiang Zhao, Guangyi Liu, Yaozhen Liang, et al.2026 · 6 citations
  4. JurisCTC: Enhancing Legal Judgment Prediction via Cross-Domain Transfer and Contrastive Learning ↗arXiv:2504.17264 · no summary yetZhaolu Kang et al.2025 · 5 citations
  5. Multimodal Multi-Agent Empowered Legal Judgment Prediction ↗arXiv:2601.12815 · no summary yetZhaolu Kang et al.2026 · 2 citations
  6. When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily LifeFindings of the Association for Computational LinguisticsXinyue Lou, Xu Jinan, Jingyi Yin, et al.2026 · 1 citation
  7. “Penny Wise, Pixel Foolish”: Bypassing Price Constraints in Multimodal Agents via Visual Adversarial PerturbationsFindings of the Association for Computational LinguisticsJiachen Qian, Zhaolu Kang2026 · 1 citation
  8. JPO: Juris Policy Optimization for Structured Legal Reasoning in Criminal Judgment Prediction ↗arXiv:2608.29616 · no summary yetZhaolu Kang et al.2026

 Co-authors here

12 of 19 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 39 times (of the 149,439 papers whose bibliographies we read); 16 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/zhaolu-kang/