--- title: "Zhaolu Kang · Peking University — author profile and papers" description: "Zhaolu Kang, Peking University: 5 papers on Elamur Research (2026), h-index 3 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/zhaolu-kang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhaolu-kang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhaolu Kang # Zhaolu Kang Zhaolu Kang has 5 papers in our library, in 2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Guojie Song](https://md.research.elamur.ai/free/en/authors/guojie-song/), [Haonan Dong](https://md.research.elamur.ai/free/en/authors/haonan-dong/), [Kehan Jiang](https://md.research.elamur.ai/free/en/authors/kehan-jiang/). 5 papers in our library · 2026 [OpenAlex](https://openalex.org/A5111134948) · [**h-index 3**](https://openalex.org/authors/A5111134948) · [59 works](https://openalex.org/works?filter=author.id:A5111134948) · [25 citations](https://openalex.org/works?filter=author.id:A5111134948&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/zhaolu-kang/#papers) · [🔗 Cited 39 times in our library](https://md.research.elamur.ai/free/en/authors/zhaolu-kang/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9433](https://md.research.elamur.ai/free/en/paper-stars/page/95/#star-9433) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Zhaolu+Kang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhaolu+Kang) · [dblp](https://dblp.org/search?q=Zhaolu+Kang) · [ACL Anthology](https://aclanthology.org/search/?q=Zhaolu+Kang) ## Affiliations [🎓**Peking University** Beijing · China 2025–2026 · 34 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Jilin University** Changchun · China 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/jilin-university/) 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 10 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Human-Computer Interaction · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) 🧭 Topics 5 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 5 papers](https://md.research.elamur.ai/free/en/authors/zhaolu-kang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/jiang-2026-foe-forest-errors-makes-first/)** *(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](https://md.research.elamur.ai/free/en/papers/dong-2026-neureasoner-explainable-controllable-unified-reasoning/)** *(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](https://md.research.elamur.ai/free/en/papers/zhao-2026-mas-bench-unified-benchmark-shortcut/)** *(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](https://md.research.elamur.ai/free/en/papers/lou-2026-when-helpers-become-hazards-benchmark/)** *(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](https://md.research.elamur.ai/free/en/papers/qian-2026-penny-wise-pixel-foolish-bypassing/)** *(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 Models](https://md.research.elamur.ai/free/en/papers/jiang-2026-foe-forest-errors-makes-first/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kehan Jiang, Haonan Dong, Zhaolu Kang, et al.*2026 · 15 citations* 2. **[NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons](https://md.research.elamur.ai/free/en/papers/dong-2026-neureasoner-explainable-controllable-unified-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haonan Dong, Kehan Jiang, Haoran Ye, et al.*2026 · 13 citations* 3. **[MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents](https://md.research.elamur.ai/free/en/papers/zhao-2026-mas-bench-unified-benchmark-shortcut/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 ↗](https://arxiv.org/abs/2504.17264) arXiv:2504.17264 · no summary yet**Zhaolu Kang et al.*2025 · 5 citations* 5. **[Multimodal Multi-Agent Empowered Legal Judgment Prediction ↗](https://arxiv.org/abs/2601.12815) arXiv:2601.12815 · no summary yet**Zhaolu Kang et al.*2026 · 2 citations* 6. **[When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily Life](https://md.research.elamur.ai/free/en/papers/lou-2026-when-helpers-become-hazards-benchmark/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinyue Lou, Xu Jinan, Jingyi Yin, et al.*2026 · 1 citation* 7. **[“Penny Wise, Pixel Foolish”: Bypassing Price Constraints in Multimodal Agents via Visual Adversarial Perturbations](https://md.research.elamur.ai/free/en/papers/qian-2026-penny-wise-pixel-foolish-bypassing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiachen Qian, Zhaolu Kang*2026 · 1 citation* 8. **[JPO: Juris Policy Optimization for Structured Legal Reasoning in Criminal Judgment Prediction ↗](https://arxiv.org/abs/2608.29616) arXiv:2608.29616 · no summary yet**Zhaolu Kang et al.*2026* ## Co-authors here 12 of 20 co-authors with a page, the most papers together first. - [Guojie Song](https://md.research.elamur.ai/free/en/authors/guojie-song/) ×2 - [Haonan Dong](https://md.research.elamur.ai/free/en/authors/haonan-dong/) ×2 - [Kehan Jiang](https://md.research.elamur.ai/free/en/authors/kehan-jiang/) ×2 - [Fengran Mo](https://md.research.elamur.ai/free/en/authors/fengran-mo/) - [Guangyi Liu](https://md.research.elamur.ai/free/en/authors/guangyi-liu/) - [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/) - [Haoran Ye](https://md.research.elamur.ai/free/en/authors/haoran-ye/) - [Jiachen Qian](https://md.research.elamur.ai/free/en/authors/jiachen-qian/) - [Kaiyu Huang](https://md.research.elamur.ai/free/en/authors/kaiyu-huang/) - [Kexin Zhang](https://md.research.elamur.ai/free/en/authors/kexin-zhang/) - [Pengxiang Zhao](https://md.research.elamur.ai/free/en/authors/pengxiang-zhao/) - [Weiqing He](https://md.research.elamur.ai/free/en/authors/weiqing-he/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 ## Cited by Papers of our library cite their works 39 times (of the 149,439 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhaolu-kang/cited-by/). Updated 2 November 2026