--- title: "Dan Zhao — author profile and papers — Elamur Research" description: "Dan Zhao, Massachusetts Institute of Technology: 3 papers on Elamur Research (2023–2026), h-index 2 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/dan-zhao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/dan-zhao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Dan Zhao # Dan Zhao Dan Zhao has 3 papers in our library, in 2023–2026, 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/); often with [Chengyu Huang](https://md.research.elamur.ai/free/en/authors/chengyu-huang/), [Claire Cardie](https://md.research.elamur.ai/free/en/authors/claire-cardie/), [Jinyan Su](https://md.research.elamur.ai/free/en/authors/jinyan-su/). 3 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5030166135) · [ORCID](https://orcid.org/0009-0009-5100-5147) · [**h-index 2**](https://openalex.org/authors/A5030166135) · [3 works](https://openalex.org/works?filter=author.id:A5030166135) · [47 citations](https://openalex.org/works?filter=author.id:A5030166135&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/dan-zhao/#papers) · [🔗 Cited 136 times in our library](https://md.research.elamur.ai/free/en/authors/dan-zhao/cited-by/) · [⭐ Paper Stars ranking: #5161](https://md.research.elamur.ai/free/en/paper-stars/page/52/#star-5161) 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=Dan+Zhao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Dan+Zhao) · [dblp](https://dblp.org/search?q=Dan+Zhao) · [ACL Anthology](https://aclanthology.org/search/?q=Dan+Zhao) ## Affiliations [🎓**Massachusetts Institute of Technology** Cambridge · United States 2022–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🎓**New York University** New York · United States 2022–2026 · 13 papers](https://md.research.elamur.ai/free/en/universities/new-york-university/) · [🎓**University of Michigan** Ann Arbor · United States 2019–2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-michigan/) · [🎓**Columbia University** New York · United States 2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/columbia-university/) · [🔬**MIT Lincoln Laboratory** Lexington · United States 2022 · 2 papers](https://md.research.elamur.ai/free/en/labs/mit-lincoln-laboratory/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## 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).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Electrical and Electronic Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/electrical-and-electronic-engineering/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](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** 1 paper](https://md.research.elamur.ai/free/en/authors/dan-zhao/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/dan-zhao/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/dan-zhao/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference](https://md.research.elamur.ai/free/en/papers/samsi-2023-words-watts-benchmarking-energy-costs/)** *(2023 · 288 citations)* Most published estimates of the energy cost of large language models focus on training. Inference gets far less attention, even though deployed models answer queries constantly and may account for a larger share of their total energy use. This paper measures what it takes, in time, computation and energy, to run… 2. **[Layer by Layer: Uncovering Hidden Representations in Language Models](https://md.research.elamur.ai/free/en/papers/skean-2025-layer-layer-uncovering-hidden-representations/)** *(2025 · 64 citations)* Most pipelines built on large language models take embeddings from the last layer, on the assumption that earlier layers hold only shallow cues. 3. **[GSM-Noise: Exploring and Enhancing Large Language Models' Reasoning under Noisy Inputs](https://md.research.elamur.ai/free/en/papers/zhang-2026-gsm-noise-exploring-enhancing-large/)** *(2026)* LLMs that score well on clean math benchmarks often fail when real users send messy prompts. The authors first examined long English prompts from WildChat-1M, using QwQ-32B as a checker. Grammar slips, symbol errors, misordered statements and irrelevant content were all common, and longer prompts contained more of… ## Co-authors here 5 co-authors with a page, the most papers together first. - [Chengyu Huang](https://md.research.elamur.ai/free/en/authors/chengyu-huang/) - [Claire Cardie](https://md.research.elamur.ai/free/en/authors/claire-cardie/) - [Jinyan Su](https://md.research.elamur.ai/free/en/authors/jinyan-su/) - [Yann LeCun](https://md.research.elamur.ai/free/en/authors/yann-lecun/) - [Zhengxin Zhang](https://md.research.elamur.ai/free/en/authors/zhengxin-zhang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 136 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/dan-zhao/cited-by/). Updated 2 November 2026