From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 19 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 4Artificial Intelligence · 2 works Arts and Humanities · 2 works Computer Science · 2 works Language and Linguistics · 2 works

🧭 Topics 1Language models & pretraining · 2 works

Works by year

2020s

20242 papers

Papers

The most cited first (OpenAlex and our library).

DataComp-LM: In search of the next generation of training sets for language models (2024 · 191 citations)
Pretraining datasets for language models are hard to compare fairly. Published models also differ in architecture, compute and hyperparameters, and the developers of top open-weight models seldom disclose their training data. DCLM (DataComp for Language Models) is a benchmark that fixes the training recipe so that…
Language models scale reliably with over-training and on downstream tasks (2024 · 46 citations)
Scaling laws let teams forecast large language model behaviour from cheap small runs. Most published laws, however, assume Chinchilla-style compute-optimal training and predict only next-token loss. In practice, smaller models are often over-trained on far more tokens to cut inference cost, and they are compared on…

All works

8 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

DataComp-LM: In search of the next generation of training sets for language modelsConference on Neural Information Processing Systems (NeurIPS)Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 191 citations
Spurious Rewards: Rethinking Training Signals in RLVR ↗arXiv:2506.10947 · no summary yetRulin Shao et al.2025 · 53 citations
Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
Exploring the Whole Rashomon Set of Sparse Decision Trees ↗PubMed · no summary yetRui Xin et al.2022 · 37 citations
TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization ↗IEEE Visualization and Visual Analytics (VIS) · no summary yetZijie J. Wang et al.2022 · 24 citations
Optimal Sparse Regression Trees ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetRui Zhang et al.2023 · 11 citations
Multitask Learning for Citation Purpose Classification ↗Proceedings of the Second Workshop on Scholarly Document Processing · no summary yetYasa M. Baig et al.2021 · 7 citations
Optimal Sparse Survival Trees ↗PubMed · no summary yetRui Zhang et al.2024 · 2 citations

Co-authors here

12 of 15 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.

PubMed ×2
Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2024
IEEE Visualization and Visual Analytics (VIS)
Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the Second Workshop on Scholarly Document Processing

Cited by

Papers of our library cite their works 419 times (of the 149,439 papers whose bibliographies we read); 90 citing papers with a page here →.

Updated 1 November 2026

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🧑‍🔬 Rui Xin

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

All works

🤝 Co-authors here

Venues

🔗 Cited by

Rui Xin

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by