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Benedikt Stroebl

Benedikt Stroebl has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining; often with Arvind Narayanan, Chris Wendler, Robert West.

2 papers in our library · 2024–2026

OpenAlex · h-index 2 · 14 works · 14 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 121 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #8724

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

🎓Princeton UniversityPrinceton · United States2024–2026 · 8 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 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

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

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AI Agents That Matter (2024 · 55 citations)
    Benchmarks steer the development of LLM-based agents. The Princeton authors argue that current evaluation habits reward topping leaderboards rather than building systems that work in practice. They identify four problems:
  2. Localized Cultural Knowledge is Conserved and Controllable in Large Language Models (2026 · 7 citations)
    Large language models (LLMs) often answer non-English prompts as if the user lived in an English-speaking, largely American setting, even when they hold the relevant local knowledge.

All works

7 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. AI Agents That MatterarXiv:2407.01502Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, et al.2024 · 55 citations
  2. CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark ↗arXiv:2409.11363 · no summary yetZachary S. Siegel et al.2024 · 39 citations
  3. The Limits of Inference Scaling Through Resampling ↗arXiv:2411.17501 · no summary yetBenedikt Stroebl, Sayash Kapoor, Arvind Narayanan2024 · 21 citations
  4. Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation ↗arXiv:2510.11977 · no summary yetSayash Kapoor et al.2025 · 11 citations
  5. Localized Cultural Knowledge is Conserved and Controllable in Large Language ModelsFindings of the Association for Computational LinguisticsVeniamin Veselovsky, Berke Argın, Benedikt Stroebl, et al.2026 · 7 citations
  6. Safety Degradation in AI Agents ↗arXiv (Cornell University) · no summary yetCheng Yu et al.2025 · 2 citations
  7. Information Retrieval Induced Safety Degradation in AI Agents ↗neural information processing systems · no summary yetCheng Yu et al.2025

 Co-authors here

6 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 121 times (of the 149,439 papers whose bibliographies we read); 16 citing papers with a page here →.

Updated

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