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Daniel Paleka

Daniel Paleka has 3 papers in our library, in 2023–2024, most of them on Language models & pretraining, Bias, fairness & safety, Evaluation & benchmarks; often with Aaquib Syed, Abulhair Saparov, Aran Komatsuzaki.

3 papers in our library · 2023–2024

OpenAlex · h-index 7 · 21 works · 275 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 309 times in our library · ⭐ Paper Stars ranking: #5184

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

🎓ETH ZurichZurich · Switzerland2022–2026 · 10 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 9The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksEngineering · 1 workSafety Research · 1 workSafety, Risk, Reliability and Quality · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 3 worksBias, fairness & safety · 2 worksEvaluation & benchmarks · 1 workReasoning · 1 work

 Works by year

2020s

20242 papers20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Refusal in Language Models Is Mediated by a Single Direction (2024 · 196 citations)
    Chat LLMs are safety-tuned to decline harmful requests, but how this behavior works inside the model is poorly understood.
  2. Foundational Challenges in Assuring Alignment and Safety of Large Language Models (2024 · 87 citations)
    This agenda-style paper by Anwar and a large multi-institution team asks what still prevents large language models from being reliably aligned and safe.
  3. ARB: Advanced Reasoning Benchmark for Large Language Models (2023 · 66 citations)
    Many popular LLM benchmarks are saturating. Models like GPT-4 now score highly on them even though they still lack expert-level competence. ARB (Advanced Reasoning Benchmark) offers a harder test built from graduate-level and professional problems in mathematics, physics, chemistry, biology and law. The sources were…

 Co-authors here

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

 Cited by

Papers of our library cite their works 309 times (of the 149,439 papers whose bibliographies we read); 95 citing papers with a page here →.

Updated

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