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Ruibo Liu

Ruibo Liu has 2 papers in our library, in 2024, most of them on Language models & pretraining; often with Bryan Hooi, Chengrun Yang, Da Huang.

2 papers in our library · 2024

OpenAlex · ORCID · h-index 19 · 90 works · 2,163 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 3,819 citations in our library · 7 more in our library without a page yet · ⭐ Paper Star rank #4226

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

🎓Dartmouth CollegeHanover · United States2019–2026 · 24 paperscurrent🎓Shaanxi University of TechnologyHanzhong · China2026 · 3 papersEmploymentcurrent🎓Northeastern UniversityShenyang · China2021–2025 · 8 papers🎓Shandong University of Finance and EconomicsJinan · China2009–2020 · 8 papers🏢Google DeepMindLondon · United Kingdom2023–2025 · 5 papers🏢China MobileBeijing · China2023–2024 · 4 papers🎓Air Force Medical UniversityXi'an · China2023–2024 · 3 papers🎓Northeastern UniversityBoston · United States2020–2022 · 3 papers🎓Yanshan College Shandong University of Finance and EconomicsJinan · China2017–2018 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 more institutions 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 8 Computer Science · 2 works Artificial Intelligence · 2 works Arts and Humanities · 1 work Psychology · 1 work Computer Vision and Pattern Recognition · 1 work Language and Linguistics · 1 work Developmental and Educational Psychology · 1 work Social Psychology · 1 work

🧭 Topics 1 Language models & pretraining · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Long-form factuality in large language models (2024 · 162 citations)
    Large language models often make factual mistakes when they write answers several paragraphs long. Before this work there was no broad benchmark for this, and no cheap way to score such answers at scale. The Google DeepMind authors address the problem with three components. The first is LongFact, a set of 2,280…
  2. Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View (2024 · 131 citations)
    Systems built from several large language model agents are increasingly used for hard tasks, but it is unclear how their collaboration works or whether it resembles human group behaviour.

All works

9 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. Long-form factuality in large language modelsJerry Wei, Chengrun Yang, Xinying Song, et al.Conference on Neural Information Processing… · 162 citations
  2. Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology ViewJintian Zhang, Xin Xu, Ningyu Zhang, et al.Annual Meeting of the Association for… · 131 citations
  3. Best Practices and Lessons Learned on Synthetic Data (original ↗)Ruibo Liu et al.2024 · arXiv:2404.07503 · 113 citations · no summary yet
  4. Training Socially Aligned Language Models on Simulated Social Interactions (original ↗)Ruibo Liu et al.2023 · arXiv:2305.16960 · 92 citations · no summary yet
  5. MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series (original ↗)Ge Zhang et al.2024 · arXiv:2405.19327 · 42 citations · no summary yet
  6. Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering (original ↗)Chenglei Si et al.2025 · Proceedings of the 2025 Conference of the… · 32 citations · no summary yet
  7. Non-Parallel Text Style Transfer with Self-Parallel Supervision (original ↗)Ruibo Liu et al.2022 · arXiv:2204.08123 · 18 citations · no summary yet
  8. OmniBench: Towards The Future of Universal Omni-Language Models (original ↗)Yizhi Li et al.2024 · arXiv:2409.15272 · 17 citations · no summary yet
  9. MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models (original ↗)Siwei Wu et al.2026 · Findings of the Association for Computational… · no summary yet

 Co-authors here

12 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 3,819 times (of the 141,840 papers whose bibliographies we read); 255 citing papers with a page here →.

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