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Rishabh Tiwari

Rishabh Tiwari has 2 papers in our library, in 2025, most of them on Language models & pretraining; often with Dan Klein, David Brandfonbrener, Joseph E. Gonzalez.

2 papers in our library · 2025

OpenAlex · h-index 1 · 8 works · 47 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 90 times in our library · ⭐ Paper Stars ranking: #8202

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

🎓University of California, BerkeleyBerkeley · United States2025–2026 · 3 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Why Do Multi-Agent LLM Systems Fail? (2025 · 89 citations)
    Multi-agent LLM systems (MAS) are popular, yet they often perform little better than single agents or simple baselines.
  2. The Art of Scaling Reinforcement Learning Compute for LLMs (2025 · 20 citations)
    Reinforcement learning now consumes a large share of LLM training compute. Unlike pre-training, though, it has no dependable way to forecast how a training recipe will behave as budgets grow. The authors tackle this with a study totalling over 400,000 GPU-hours on Nvidia GB200 hardware. Most runs use an 8B dense…

 Co-authors here

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

 Cited by

Papers of our library cite their works 90 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

Updated

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