Julia Kempe
Julia Kempe has 2 papers in our library, in 2025, most of them on Reasoning, Language models & pretraining; often with Anthony Hartshorn, Cheng Zhang, Parag Jain.
OpenAlex · ORCID · Wikidata · h-index 39 · 170 works · 11,503 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 18 times in our library · ⭐ Paper Stars ranking: #11178
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Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksDecision Sciences · 1 workManagement Science and Operations Research · 1 workComputer Vision and Pattern Recognition · 1 work
🧭 Topics 2Research subjects and languages the work is about.Reasoning · 2 worksLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- Outcome-based Exploration for LLM Reasoning (2025 · 15 citations)
Reinforcement learning that rewards only a correct final answer improves LLM math reasoning, but it also narrows the range of answers a model produces. - What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT (2025 · 4 citations)
Large reasoning models often spend large amounts of test-time compute on very long chains of thought. Earlier work, starting with S1's appended "wait" tokens, claimed that longer traces and more self-review help, but later studies disagreed. This paper tests those claims across ten LRMs on HARP (math) and…
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