--- title: "Xiang Lorraine Li — author profile and papers in our library" description: "Xiang Lorraine Li: 2 papers on Elamur Research (2023), h-index 7 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xiang-lorraine-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiang-lorraine-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiang Lorraine Li # Xiang Lorraine Li Xiang Lorraine Li has 2 papers in our library, in 2023, 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/); often with [Chandra Bhagavatula](https://md.research.elamur.ai/free/en/authors/chandra-bhagavatula/), [Jena D. Hwang](https://md.research.elamur.ai/free/en/authors/jena-d-hwang/), [Soumya Sanyal](https://md.research.elamur.ai/free/en/authors/soumya-sanyal/). 2 papers in our library · 2023 [OpenAlex](https://openalex.org/A5034858125) · [**h-index 7**](https://openalex.org/authors/A5034858125) · [18 works](https://openalex.org/works?filter=author.id:A5034858125) · [468 citations](https://openalex.org/works?filter=author.id:A5034858125&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xiang-lorraine-li/#papers) · [🔗 Cited 937 times in our library](https://md.research.elamur.ai/free/en/authors/xiang-lorraine-li/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5163](https://md.research.elamur.ai/free/en/paper-stars/page/52/#star-5163) 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=Xiang+Lorraine+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiang+Lorraine+Li) · [dblp](https://dblp.org/search?q=Xiang+Lorraine+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Xiang+Lorraine+Li) ## Affiliations [🎓**University of Massachusetts Amherst** Amherst Center · United States 2020–2021 · 7 papers](https://md.research.elamur.ai/free/en/universities/university-of-massachusetts-amherst/) · [🎓**University of Pittsburgh** Pittsburgh · United States 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-pittsburgh/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) 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 8 The field of science this work belongs to (OpenAlex fields).[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/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [History and Philosophy of Science · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/history-and-philosophy-of-science/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Semantics · 1 work](https://md.research.elamur.ai/free/en/concepts/semantics/) ## Works by year ### 2020s [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/xiang-lorraine-li/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Faith and Fate: Limits of Transformers on Compositionality](https://md.research.elamur.ai/free/en/papers/dziri-2023-faith-fate-limits-transformers-compositionality/)** *(2023 · 327 citations)* Large transformer LLMs can handle some demanding reasoning tasks yet fail on simple procedural ones. The authors ask whether these failures are accidental or reflect deeper structural limits. They examine three compositional tasks: long-form multiplication with operands of up to 5 digits, Einstein-style puzzles that… 2. **[PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning](https://md.research.elamur.ai/free/en/papers/brahman-2023-plasma-making-small-language-models/)** *(2023 · 25 citations)* The paper asks whether compact language models can handle procedural planning, meaning turning a high-level goal into an ordered list of steps. ## 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. **[Scaling Language Models: Methods, Analysis & Insights from Training Gopher ↗](https://arxiv.org/abs/2112.11446) arXiv:2112.11446 · no summary yet**Jack W. Rae et al.*2021 · 928 citations* 2. **[Faith and Fate: Limits of Transformers on Compositionality](https://md.research.elamur.ai/free/en/papers/dziri-2023-faith-fate-limits-transformers-compositionality/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Nouha Dziri, Ximing Lu, Melanie Sclar, et al.*2023 · 327 citations* 3. [**PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning arXiv:2305.19472**Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, et al.*2023 · 25 citations*](https://md.research.elamur.ai/free/en/papers/brahman-2023-plasma-making-small-language-models/) ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Chandra Bhagavatula](https://md.research.elamur.ai/free/en/authors/chandra-bhagavatula/) ×2 - [Jena D. Hwang](https://md.research.elamur.ai/free/en/authors/jena-d-hwang/) ×2 - [Soumya Sanyal](https://md.research.elamur.ai/free/en/authors/soumya-sanyal/) ×2 - [Bill Yuchen Lin](https://md.research.elamur.ai/free/en/authors/bill-yuchen-lin/) - [Faeze Brahman](https://md.research.elamur.ai/free/en/authors/faeze-brahman/) - [Keisuke Sakaguchi](https://md.research.elamur.ai/free/en/authors/keisuke-sakaguchi/) - [Liwei Jiang](https://md.research.elamur.ai/free/en/authors/liwei-jiang/) - [Melanie Sclar](https://md.research.elamur.ai/free/en/authors/melanie-sclar/) - [Nouha Dziri](https://md.research.elamur.ai/free/en/authors/nouha-dziri/) - [Peter West](https://md.research.elamur.ai/free/en/authors/peter-west/) - [Ronan Le Bras](https://md.research.elamur.ai/free/en/authors/ronan-le-bras/) - [Sean Welleck](https://md.research.elamur.ai/free/en/authors/sean-welleck/) ## 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 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/) ## Cited by Papers of our library cite their works 937 times (of the 149,439 papers whose bibliographies we read); [301 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiang-lorraine-li/cited-by/). Updated 30 October 2026