--- title: "Lijun Li — author profile and papers · Bias, fairness & safety" description: "Lijun Li, Shanghai Jiao Tong University: 4 papers on Elamur Research (2024–2026), h-index 11 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/lijun-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lijun-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lijun Li # Lijun Li Lijun Li has 4 papers in our library, in 2024–2026, most of them on [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Jing Shao](https://md.research.elamur.ai/free/en/authors/jing-shao/), [Dahua Lin](https://md.research.elamur.ai/free/en/authors/dahua-lin/), [Hao Li](https://md.research.elamur.ai/free/en/authors/hao-li/). 4 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5100376790) · [ORCID](https://orcid.org/0000-0002-7406-6702) · [**h-index 11**](https://openalex.org/authors/A5100376790) · [81 works](https://openalex.org/works?filter=author.id:A5100376790) · [382 citations](https://openalex.org/works?filter=author.id:A5100376790&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/lijun-li/#papers) · [🔗 Cited 102 times in our library](https://md.research.elamur.ai/free/en/authors/lijun-li/cited-by/) · [⭐ Paper Stars ranking: #7265](https://md.research.elamur.ai/free/en/paper-stars/page/73/#star-7265) 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=Lijun+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lijun+Li) · [dblp](https://dblp.org/search?q=Lijun+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Lijun+Li) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2023–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Taiyuan University of Science and Technology** Taiyuan · China 2013–2026 · 3 papers*current*](https://ror.org/01wcbdc92) · [🏥**Beijing Tian Tan Hospital** Beijing · China 2026 · 1 paper*current*](https://ror.org/003regz62) · [🎓**Capital Medical University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/capital-medical-university/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2003–2009 · 17 papers](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🎓**Beihang University** Beijing · China 2014–2019 · 8 papers](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🎓**Liaoning Shihua University** Fushun · China 2009–2011 · 5 papers](https://ror.org/00k6c4h29) · [🔬**State Key Laboratory of Virtual Reality Technology and Systems** Beijing 2016–2019 · 4 papers](https://ror.org/0009eea46) · [🎓**Changsha University of Science and Technology** Changsha · China 2008–2011 · 3 papers](https://md.research.elamur.ai/free/en/universities/changsha-university-of-science-and-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 24 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 3 Research subjects and languages the work is about.[Bias, fairness & safety · 4 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/lijun-li/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/lijun-li/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/lijun-li/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-salad-bench-hierarchical-comprehensive-safety/)** *(2024 · 119 citations)* Existing LLM safety benchmarks have several weaknesses. They cover narrow slices of harm, and modern models now handle their questions almost perfectly. Many also need slow human grading or costly GPT grading, and few can assess both models and attack/defense techniques. SALAD-Bench addresses these gaps with a… 2. **[Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment](https://md.research.elamur.ai/free/en/papers/li-2025-layer-aware-representation-filtering-purifying/)** *(2025 · 11 citations)* Fine-tuning a safety-aligned LLM can weaken its refusal behaviour even when the training data look harmless. 3. **[Visual Contextual Attack: Jailbreaking MLLMs with Image-Driven Context Injection](https://md.research.elamur.ai/free/en/papers/ziqi-2025-visual-contextual-attack-jailbreaking-mllms/)** *(2025 · 6 citations)* The paper argues that most image-based jailbreaks of multimodal LLMs use the picture as a trigger. They paint harmful text onto it, add adversarial noise, or generate a loosely related image, but the visual content rarely defines a coherent scenario. The authors introduce a vision-centric jailbreak setting, where the… 4. **[ToolSafe: Enhancing Tool Invocation Safety of LLM-based agents via Proactive Step-level Guardrail and Feedback](https://md.research.elamur.ai/free/en/papers/mou-2026-toolsafe-enhancing-tool-invocation-safety/)** *(2026 · 3 citations)* LLM agents that call external tools can be steered into harmful actions, either by malicious users or by prompt injections hidden in tool outputs. ## Co-authors here 11 co-authors with a page, the most papers together first. - [Jing Shao](https://md.research.elamur.ai/free/en/authors/jing-shao/) ×4 - [Dahua Lin](https://md.research.elamur.ai/free/en/authors/dahua-lin/) - [Hao Li](https://md.research.elamur.ai/free/en/authors/hao-li/) - [Lei Sha](https://md.research.elamur.ai/free/en/authors/lei-sha/) - [Peiyang Liu](https://md.research.elamur.ai/free/en/authors/peiyang-liu/) - [Rui Li](https://md.research.elamur.ai/free/en/authors/rui-li/) - [Shikun Zhang](https://md.research.elamur.ai/free/en/authors/shikun-zhang/) - [Wei Ye](https://md.research.elamur.ai/free/en/authors/wei-ye/) - [Xuhao Hu](https://md.research.elamur.ai/free/en/authors/xuhao-hu/) - [Yu Qiao](https://md.research.elamur.ai/free/en/authors/yu-qiao/) - [Yutao Mou](https://md.research.elamur.ai/free/en/authors/yutao-mou/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ×2 - [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/), [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/) ## Cited by Papers of our library cite their works 102 times (of the 149,439 papers whose bibliographies we read); [31 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lijun-li/cited-by/). Updated 2 November 2026