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Litu Ou

Litu Ou has 2 papers in our library, in 2023, most of them on Language models & pretraining, Reasoning; often with Hao Peng, Tushar Khot, Yao Fu.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 3 · 19 works · 63 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 319 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #4232

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 EdinburghEdinburgh · United Kingdom2023–2026 · 9 papersEmployment since 2025current🔬Allen Institute for Artificial IntelligenceSeattle · United States2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 2 works

 Works by year

2020s

20232 papersLitu Ou's papers of 2023

 Papers

The most cited first (OpenAlex and our library).

  1. Specializing Smaller Language Models towards Multi-Step Reasoning (2023 · 222 citations)
    Chain-of-thought math reasoning is usually thought to appear only in models above roughly 100B parameters, which puts it out of reach for most researchers.
  2. Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance (2023 · 69 citations)
    Chat-style comparisons make many LLMs look alike, so the authors argue that multi-step reasoning is a better way to separate strong models from weak ones.

All works

6 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. Specializing Smaller Language Models towards Multi-Step ReasoningarXiv:2301.12726Yao Fu, Hao Peng, Litu Ou, et al.2023 · 222 citations
  2. Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning PerformancearXiv:2305.17306Yao Fu, Litu Ou, Mingyu Chen, et al.2023 · 69 citations
  3. WebSailor: Navigating Super-human Reasoning for Web Agent ↗arXiv:2507.02592 · no summary yetKuan Li et al.2025 · 46 citations
  4. MiniCPM4: Ultra-Efficient LLMs on End Devices ↗arXiv:2506.07900 · no summary yetMiniCPM Team et al.2025 · 22 citations
  5. ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization ↗arXiv:2509.13313 · no summary yetXixi Wu et al.2025 · 20 citations
  6. BrowseConf: Confidence-Guided Test-Time Scaling for Web Agents ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetLitu Ou et al.2026

 Co-authors here

4 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 319 times (of the 141,840 papers whose bibliographies we read); 26 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/litu-ou/