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Neel Joshi

Neel Joshi has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Reasoning; often with Vidhisha Balachandran, Ahmed Hassan Awadallah, Eduardo Salinas.

2 papers in our library · 2024–2025

OpenAlex · ORCID · Wikidata · h-index 57 · 174 works · 12,323 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 68 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9109

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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 (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 ReportarXiv:2504.21318Marah Abdin, Sahaj Agarwal, Ahmed Awadallah, et al.2025 · 64 citations
  2. Eureka: Evaluating and Understanding Large Foundation ModelsarXiv:2409.10566Vidhisha Balachandran, Jingya Chen, Neel Joshi, et al.2024 · 7 citations
  3. Visual Attention Emerges from Recurrent Sparse Reconstruction ↗arXiv (Cornell University) · no summary yetBaifeng Shi et al.2022 · 3 citations

 Co-authors here

12 co-authors with a page, the most papers together first.

 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 →.

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