--- title: "Neel Joshi · Tufts University — author profile and papers" description: "Neel Joshi, Tufts University: 2 papers on Elamur Research (2024–2025), h-index 57 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/neel-joshi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/neel-joshi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Neel Joshi # Neel Joshi Neel Joshi has 2 papers in our library, in 2024–2025, 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 [Vidhisha Balachandran](https://md.research.elamur.ai/free/en/authors/vidhisha-balachandran/), [Ahmed Hassan Awadallah](https://md.research.elamur.ai/free/en/authors/ahmed-hassan-awadallah/), [Eduardo Salinas](https://md.research.elamur.ai/free/en/authors/eduardo-salinas/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5072006037) · [ORCID](https://orcid.org/0000-0001-8236-3566) · [Wikidata](https://www.wikidata.org/wiki/Q51155196) · [**h-index 57**](https://openalex.org/authors/A5072006037) · [174 works](https://openalex.org/works?filter=author.id:A5072006037) · [12,323 citations](https://openalex.org/works?filter=author.id:A5072006037&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/neel-joshi/#papers) · [🔗 Cited 68 times in our library](https://md.research.elamur.ai/free/en/authors/neel-joshi/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9109](https://md.research.elamur.ai/free/en/paper-stars/page/92/#star-9109) 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=Neel+Joshi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Neel+Joshi) · [dblp](https://dblp.org/search?q=Neel+Joshi) · [ACL Anthology](https://aclanthology.org/search/?q=Neel+Joshi) ## Affiliations [🎓**Tufts University** Medford · United States 2026Employment since 2026 · Associate Professor, Chemistry*current*](https://md.research.elamur.ai/free/en/universities/tufts-university/) · [🏢**Microsoft** Redmond · United States 2009–2026 · 51 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**University of California San Diego** San Diego · United States 2006–2009 · 10 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/) · [🎓**Stanford University** Stanford · United States 2003–2005 · 8 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**Northeastern University** Shenyang · China 2020–2026Employment 2020–2026 · Associate Professor, Department of Chemistry and Chemical Biology](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/) · [🎓**Harvard University** Cambridge · United States 2010–2019Employment 2010–2019 · Associate Professor, School of Engineering and Applied Sciences](https://md.research.elamur.ai/free/en/universities/harvard-university/) · [🎓**Boston University** Boston · United States 2006–2009Employment 2006–2009 · Postdoctoral Researcher, Chemistry](https://md.research.elamur.ai/free/en/universities/boston-university/) · [🎓**University of California, Berkeley** Berkeley · United States 2001–2006Education 2001–2006 · Ph.D., Chemistry](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**Harvey Mudd College** Claremont · United States 1997–2001Education 1997–2001 · B.S., Chemistry](https://md.research.elamur.ai/free/en/universities/harvey-mudd-college/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 5 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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 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/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/neel-joshi/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/neel-joshi/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Phi-4-reasoning Technical Report](https://md.research.elamur.ai/free/en/papers/abdin-2025-phi-4-reasoning-technical-report/)** *(2025 · 64 citations)* The report asks whether a compact model can match much larger systems on hard multi-step reasoning. Microsoft researchers fine-tuned the 14B-parameter Phi-4 on more than 1.4M prompts paired with long reasoning traces written by o3-mini. The result is Phi-4-reasoning. The prompts were chosen to be "teachable": varied… 2. **[Eureka: Evaluating and Understanding Large Foundation Models](https://md.research.elamur.ai/free/en/papers/balachandran-2024-eureka-evaluating-understanding-large-foundation/)** *(2024 · 7 citations)* Evaluating today's large foundation models has become unreliable. Many popular benchmarks are nearly maxed out, measurement setups are rarely disclosed, scoring generative outputs takes complex processing, and leaderboard numbers say little about how models fail. Microsoft Research addresses this with EUREKA, an… ## 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. [**Phi-4-reasoning Technical Report arXiv:2504.21318**Marah Abdin, Sahaj Agarwal, Ahmed Awadallah, et al.*2025 · 64 citations*](https://md.research.elamur.ai/free/en/papers/abdin-2025-phi-4-reasoning-technical-report/) 2. [**Eureka: Evaluating and Understanding Large Foundation Models arXiv:2409.10566**Vidhisha Balachandran, Jingya Chen, Neel Joshi, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/balachandran-2024-eureka-evaluating-understanding-large-foundation/) 3. **[Visual Attention Emerges from Recurrent Sparse Reconstruction ↗](https://arxiv.org/abs/2204.10962) arXiv (Cornell University) · no summary yet**Baifeng Shi et al.*2022 · 3 citations* ## Co-authors here 12 co-authors with a page, the most papers together first. - [Vidhisha Balachandran](https://md.research.elamur.ai/free/en/authors/vidhisha-balachandran/) ×2 - [Ahmed Hassan Awadallah](https://md.research.elamur.ai/free/en/authors/ahmed-hassan-awadallah/) - [Eduardo Salinas](https://md.research.elamur.ai/free/en/authors/eduardo-salinas/) - [Hamid Palangi](https://md.research.elamur.ai/free/en/authors/hamid-palangi/) - [Harkirat Behl](https://md.research.elamur.ai/free/en/authors/harkirat-behl/) - [Lingjiao Chen](https://md.research.elamur.ai/free/en/authors/lingjiao-chen/) - [Marah Abdin](https://md.research.elamur.ai/free/en/authors/marah-abdin/) - [Mojan Javaheripi](https://md.research.elamur.ai/free/en/authors/mojan-javaheripi/) - [Piero Kauffmann](https://md.research.elamur.ai/free/en/authors/piero-kauffmann/) - [Sahaj Agarwal](https://md.research.elamur.ai/free/en/authors/sahaj-agarwal/) - [Suriya Gunasekar](https://md.research.elamur.ai/free/en/authors/suriya-gunasekar/) - [Vibhav Vineet](https://md.research.elamur.ai/free/en/authors/vibhav-vineet/) ## Cited by Papers of our library cite their works 68 times (of the 149,439 papers whose bibliographies we read); [21 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/neel-joshi/cited-by/). Updated 3 November 2026