🧑‍🔬 Andrew Wang

🏛️ Affiliations

🎓University of EdinburghEdinburgh · United Kingdom2023–2027 · 6 papersEducation 2023–2027 · PhD, School of EngineeringEmployment · School of Engineeringcurrent🎓University of California, BerkeleyBerkeley · United States2011–2024 · 8 papers🎓University of TorontoToronto · Canada2023–2025 · 4 papers🎓Johns Hopkins UniversityBaltimore · United States2023–2025 · 3 papers🎓Georgia Institute of TechnologyAtlanta · United States2025 · 2 papers🎓Stanford UniversityStanford · United States2023–2024 · 2 papers🎓University of CambridgeCambridge · United Kingdom2018–2023 · 2 papersEducation 2018–2022 · MEng Engineering (Information and Computer Engineering), Department of Engineering🔬Vector InstituteToronto · Canada2023 · 2 papers🔬Naval Information Warfare Center PacificSan Diego · United States2018–2020 · 2 papers🎓University of San FranciscoSan Francisco · United States2020 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. ConvoKit: A Toolkit for the Analysis of Conversations (2020 · 138 citations)
   General NLP libraries such as NLTK, spaCy and scikit-learn are not designed for dialogue. Conversational data and code are also scattered across incompatible formats and one-off implementations, which hurts reproducibility. The authors present ConvoKit, an open-source Python package that treats conversations as…
2. The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input (2025 · 32 citations)
   The paper presents FACTS Grounding, a benchmark and Kaggle-hosted leaderboard from Google DeepMind, Google Research, Google Cloud and Kaggle.
3. Can Authorship Representation Learning Capture Stylistic Features? (2023 · 21 citations)
   Neural models trained to tell authors apart are often assumed to learn writing style. However, high attribution accuracy could also come from topic or other content signals that happen to correlate with authorship. The authors test this assumption on the Universal Authorship Representation (UAR), which is trained…

All works

10 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. PACMan: coordinated memory caching for parallel jobs ↗no summary yetGanesh Ananthanarayanan et al.2012 · 286 citations
2. Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0 ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetAbby O'Neill et al.2024 · 231 citations
3. ConvoKit: A Toolkit for the Analysis of ConversationsAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Jonathan P. Chang, Caleb Chiam, Liye Fu, et al.2020 · 138 citations
4. Cake ↗ACM Symposium on Cloud Computing (SoCC) · no summary yetAndrew Wang et al.2012 · 101 citations
5. Identifying the Risks of LM Agents with an LM-Emulated Sandbox ↗arXiv:2309.15817 · no summary yetYangjun Ruan et al.2023 · 96 citations
6. Boosted Prompt Ensembles for Large Language Models ↗arXiv (Cornell University) · no summary yetSilviu Pitis et al.2023 · 38 citations
7. The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form InputarXiv:2501.03200Alon Jacovi, Andrew Wang, Chris Alberti, et al.2025 · 32 citations
8. Can Authorship Representation Learning Capture Stylistic Features?Transactions of the Association for Computational Linguistics (TACL)Andrew Wang, Cristina Aggazzotti, Rebecca Kotula, et al.2023 · 21 citations
9. Sweet storage SLOs with Frosting ↗no summary yetAndrew Wang et al.2012 · 9 citations
10. Representation Learning for Frequent Subgraph Mining ↗arXiv (Cornell University) · no summary yetRex Ying et al.2024 · 4 citations

🤝 Co-authors here

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

• Alon Jacovi
• Chris Alberti
• Cristian Danescu-Niculescu-Mizil
• Justine Zhang
• Kate Olszewska
• Liye Fu
• Lukas Haas
• Nicholas Andrews

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL): SIGDIAL 2020
• Transactions of the Association for Computational Linguistics (TACL): Transactions of the Association for Computational Linguistics (TACL) 2023
• ACM Symposium on Cloud Computing (SoCC)
• Proceedings - IEEE International Conference on Robotics and Automation/Proceedings

🔗 Cited by

Papers of our library cite their works 349 times (of the 149,439 papers whose bibliographies we read); 64 citing papers with a page here →.

Updated 30 October 2026

↑ back to top

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