Portrait of Neel Joshi

Neel Joshi

Senior Principal Research Manager

News & features

White line icons against a blue-green gradient background form an architecture flow chart. In the middle of the chart is a three-by-three matrix of circles and lines within a round-edge square. Above the matrix, three icons in a row – an equation, a person using a desktop, and a head with gears flow by dotted lines to the matrix. To the left of the matrix is an icon representing a stack of files with an arrow pointing to the matrix. To the right of the matrix is a graph with a double headed arrow pointing to the matrix and to itself. Below the matrix is an icon representing a document. A dotted line arrow connects this graph to the matrix, showing the direction flowing from the matrix to the document. To the right of the document icon is an hourglass icon and three list icons with a dotted line connecting the hourglass to the lists.
Microsoft Research Blog

| Jyoti Aneja, Michael Harrison, Neel Joshi, Tyler LaBonte, John Langford, and Eduardo Salinas

We are pleased to announce Phi-4-reasoning-vision-15B, a 15 billion parameter open‑weight multimodal reasoning model, available through Microsoft Foundry (opens in new tab), HuggingFace (opens in new tab) and GitHub (opens in new tab). Phi-4-reasoning-vision-15B is a broadly capable model that…

A summary of insights extracted by using the Eureka framework, shown via two radar charts for multimodal (left) and language (right) capabilities respectively. The radar charts show the best and worst performance observed for each capability.
Microsoft Research Blog

| Vidhisha Balachandran, Jingya Chen, Neel Joshi, Besmira Nushi, Hamid Palangi, Eduardo Salinas, Vibhav Vineet, James Woffinden-Luey, and Safoora Yousefi

How can we rigorously evaluate and understand state-of-the-art progress in AI? Eureka is an open-source framework for standardizing evaluations of large foundation models, beyond single-score reporting and rankings. Learn more about the extended findings.

"ICCV23 PARIS" to the left of a picture of the first page of the HoloAssist publication on a blue and purple gradient background.
Microsoft Research Blog

| Xin Wang and Neel Joshi

HoloAssist is a new multimodal dataset consisting of 166 hours of interactive task executions with 222 participants. Discover how it offers invaluable data to advance the capabilities of next-gen AI copilots for real-world tasks.