From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 21 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 6Computer Science · 2 works Artificial Intelligence · 1 work Arts and Humanities · 1 work Language and Linguistics · 1 work Computational Theory and Mathematics · 1 work Computer Vision and Pattern Recognition · 1 work

🧭 Topics 1Language models & pretraining · 1 work

Works by year

2020s

20261 paper 20251 paper

Papers

The most cited first (OpenAlex and our library).

Can Large Language Models Unlock Novel Scientific Research Ideas? (2025 · 27 citations)
Assessing whether an LLM can suggest worthwhile research directions after reading a paper is difficult. There is no reference answer, and expert review is slow, costly and cannot keep pace with new model releases. The authors build a benchmark of 1,250 recent papers from S2ORC covering Computer Science, Economics…
BiMol-Diff: A Unified Diffusion Framework for Molecular Generation and Captioning (2026)
BiMol-Diff tackles two tasks that are usually handled by separate models: generating molecules from text descriptions and writing captions for molecules.

Co-authors here

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Cited by

Papers of our library cite their works 20 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated 1 November 2026

This page in Markdown → https://md.research.elamur.ai/free/en/authors/sandeep-kumar/

🧑‍🔬 Sandeep Kumar

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

🤝 Co-authors here

Venues

🔗 Cited by

Sandeep Kumar

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by