--- title: "Ziming Liu — author profile and papers — Elamur Research" description: "Ziming Liu: 5 papers on Elamur Research (2020–2025), h-index 21 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/ziming-liu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ziming-liu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ziming Liu # Ziming Liu Ziming Liu has 5 papers in our library, in 2020–2025, most of them on [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Max Tegmark](https://md.research.elamur.ai/free/en/authors/max-tegmark/), [Eric J. Michaud](https://md.research.elamur.ai/free/en/authors/eric-j-michaud/), [Niklas Nolte](https://md.research.elamur.ai/free/en/authors/niklas-nolte/). 5 papers in our library · 2020–2025 [OpenAlex](https://openalex.org/A5101924541) · [ORCID](https://orcid.org/0000-0002-7090-8853) · [**h-index 21**](https://openalex.org/authors/A5101924541) · [80 works](https://openalex.org/works?filter=author.id:A5101924541) · [4,679 citations](https://openalex.org/works?filter=author.id:A5101924541&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/ziming-liu/#papers) · [🔗 Cited 80 times in our library](https://md.research.elamur.ai/free/en/authors/ziming-liu/cited-by/) · [⭐ Paper Stars ranking: #6153](https://md.research.elamur.ai/free/en/paper-stars/page/62/#star-6153) 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=Ziming+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ziming+Liu) · [dblp](https://dblp.org/search?q=Ziming+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Ziming+Liu) ## Affiliations [🎓**Massachusetts Institute of Technology** Cambridge · United States 2021–2026 · 33 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🔬**The NSF AI Institute for Artificial Intelligence and Fundamental Interactions** Cambridge · United States 2021–2026 · 18 papers](https://md.research.elamur.ai/free/en/labs/the-nsf-ai-institute-for-artificial-intelligence-and-fundamental-interactions/) · [🎓**Tsinghua University** Beijing · China 2026 · 6 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**Shanghai Qi Zhi Institute** Shanghai · China 2026 · 4 papers](https://md.research.elamur.ai/free/en/labs/shanghai-qi-zhi-institute/) · [🎓**Peking University** Beijing · China 2019–2021 · 3 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 10 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/) · [Physics and Astronomy · 2 works](https://md.research.elamur.ai/free/en/shelves/physics-and-astronomy/) · [Statistical and Nonlinear Physics · 2 works](https://md.research.elamur.ai/free/en/shelves/physics-and-astronomy/statistical-and-nonlinear-physics/) · [Materials Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/materials-chemistry/) · [Materials Science · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Numerical Analysis · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/numerical-analysis/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Legal AI · 1 work](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) 💡 Concepts 2 Key ideas and methods explained on our concept pages.[Scaling laws · 1 work](https://md.research.elamur.ai/free/en/concepts/scaling-laws/) · [Zipf's law · 1 work](https://md.research.elamur.ai/free/en/concepts/zipfs-law/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/ziming-liu/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/ziming-liu/year/2023/) · [**2022** 2 papers](https://md.research.elamur.ai/free/en/authors/ziming-liu/year/2022/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/ziming-liu/year/2020/) ## Papers The most cited first (OpenAlex and our library). 1. **[AI Poincaré: Machine Learning Conservation Laws from Trajectories](https://md.research.elamur.ai/free/en/papers/liu-2020-ai-poincare-machine-learning/)** *(2020 · 130 citations)* The paper asks whether conservation laws can be found purely from observed trajectories, without knowing the equations of motion. 2. **[Towards Understanding Grokking: An Effective Theory of Representation Learning](https://md.research.elamur.ai/free/en/papers/liu-2022-towards-understanding-grokking-effective-theory/)** *(2022 · 65 citations)* Grokking is the behavior where a neural network fits its training data early but only begins to generalize much later. 3. **[The Quantization Model of Neural Scaling](https://md.research.elamur.ai/free/en/papers/michaud-2023-quantization-model-neural-scaling/)** *(2023 · 30 citations)* The paper tackles a puzzle about scaling. Average loss falls smoothly as a power law when models and datasets grow, yet specific abilities often seem to switch on abruptly. To reconcile the two, the authors propose the Quantization Hypothesis. It holds that prediction tasks rely on a countable set of discrete skills… 4. **[Omnigrok: Grokking Beyond Algorithmic Data](https://md.research.elamur.ai/free/en/papers/liu-2022-omnigrok-grokking-algorithmic-data/)** *(2022 · 29 citations)* Grokking is when a network fits its training data early but only begins to generalize much later. It had been documented mainly on algorithmic tasks, and its cause was unclear. Liu, Michaud and Tegmark study it through loss-landscape geometry. They use a "reduced" loss, obtained by optimizing over weight directions… 5. **[Do Two AI Scientists Agree?](https://md.research.elamur.ai/free/en/papers/fu-2025-two-ai-scientists-agree/)** *(2025)* The paper asks whether independently trained AI models given the same physics data arrive at the same theory or at different ones. ## Co-authors here 3 co-authors with a page, the most papers together first. - [Max Tegmark](https://md.research.elamur.ai/free/en/authors/max-tegmark/) ×5 - [Eric J. Michaud](https://md.research.elamur.ai/free/en/authors/eric-j-michaud/) ×3 - [Niklas Nolte](https://md.research.elamur.ai/free/en/authors/niklas-nolte/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2022](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/) - [Physical Review Letters](https://md.research.elamur.ai/free/en/venues/physical-review-letters/): [Physical Review Letters 2020](https://md.research.elamur.ai/free/en/venues/physical-review-letters/2020/) ## Cited by Papers of our library cite their works 80 times (of the 149,439 papers whose bibliographies we read); [26 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ziming-liu/cited-by/). Updated 3 November 2026