--- title: "Lingjing Kong — author profile and papers — Elamur Research" description: "Lingjing Kong, Carnegie Mellon University: 2 papers on Elamur Research (2026), h-index 5 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/lingjing-kong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lingjing-kong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lingjing Kong # Lingjing Kong Lingjing Kong has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Kun Zhang](https://md.research.elamur.ai/free/en/authors/kun-zhang/), [Xiangchen Song](https://md.research.elamur.ai/free/en/authors/xiangchen-song/), [Aashiq Muhamed](https://md.research.elamur.ai/free/en/authors/aashiq-muhamed/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5102491705) · [**h-index 5**](https://openalex.org/authors/A5102491705) · [26 works](https://openalex.org/works?filter=author.id:A5102491705) · [592 citations](https://openalex.org/works?filter=author.id:A5102491705&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/lingjing-kong/#papers) · 🔗 Cited 1 time in our library · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #13021](https://md.research.elamur.ai/free/en/paper-stars/page/131/#star-13021) 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=Lingjing+Kong) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lingjing+Kong) · [dblp](https://dblp.org/search?q=Lingjing+Kong) · [ACL Anthology](https://aclanthology.org/search/?q=Lingjing+Kong) ## Affiliations [🎓**Carnegie Mellon University** Pittsburgh · United States 2023–2026 · 13 papers*current*](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**École Polytechnique Fédérale de Lausanne** Lausanne · Switzerland 2020–2021 · 5 papers](https://md.research.elamur.ai/free/en/universities/ecole-polytechnique-federale-de-lausanne/) 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 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/lingjing-kong/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/song-2026-mechanistic-interpretability-should-prioritize-feature/)** *(2026 · 1 citation)* Sparse autoencoders (SAEs) are a popular way to break LLM activations into sparse, human-readable features. 2. **[Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards](https://md.research.elamur.ai/free/en/papers/xie-2026-advancing-reasoning-diffusion-language-models/)** *(2026)* Masked diffusion language models (MdLLMs) such as LLaDA generate text by gradually unmasking a sequence. Reinforcement learning methods such as diffu-GRPO reward only the correctness of the final answer, so they do not supervise the denoising steps themselves. As a result, models often waste intermediate steps on… ## All works 3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/song-2026-mechanistic-interpretability-should-prioritize-feature/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiangchen Song, Aashiq Muhamed, Yujia Zheng, et al.*2026 · 1 citation* 2. **[Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards](https://md.research.elamur.ai/free/en/papers/xie-2026-advancing-reasoning-diffusion-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shaoan Xie, Lingjing Kong, Xiangchen Song, et al.*2026* 3. **[From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning ↗](https://arxiv.org/abs/2606.18089) arXiv (Cornell University) · no summary yet**Lingjing Kong et al.*2026* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Kun Zhang](https://md.research.elamur.ai/free/en/authors/kun-zhang/) ×2 - [Xiangchen Song](https://md.research.elamur.ai/free/en/authors/xiangchen-song/) ×2 - [Aashiq Muhamed](https://md.research.elamur.ai/free/en/authors/aashiq-muhamed/) - [Eric P. Xing](https://md.research.elamur.ai/free/en/authors/eric-p-xing/) - [Mona Diab](https://md.research.elamur.ai/free/en/authors/mona-diab/) - [Virginia Smith](https://md.research.elamur.ai/free/en/authors/virginia-smith/) - [Xinshuai Dong](https://md.research.elamur.ai/free/en/authors/xinshuai-dong/) - [Yujia Zheng](https://md.research.elamur.ai/free/en/authors/yujia-zheng/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read). Updated 2 November 2026