🧑‍🔬 Evan Zheran Liu

🏛️ Affiliations

🎓University of California San DiegoSan Diego · United States2026 · 1 papercurrent🎓Stanford UniversityStanford · United States2017–2025 · 9 papers🏢GoogleMountain View · United States2020–2021 · 2 papers

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.

📅 Works by year

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood (2017 · 236 citations)
   The paper tackles weakly supervised semantic parsing, where natural language instructions must be turned into executable programs but training data provide only the correct execution outcome, not the program itself.
2. Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration (2018 · 119 citations)
   The paper tackles a core obstacle in teaching RL agents to operate websites (for example, booking a flight or forwarding an email).

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. From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal LikelihoodAnnual Meeting of the Association for Computational Linguistics (ACL)Kelvin Guu, Panupong Pasupat, Evan Liu, et al.2017 · 236 citations
2. Just Train Twice: Improving Group Robustness without Training Group Information ↗arXiv (Cornell University) · no summary yetEvan Zheran Liu et al.2021 · 125 citations
3. Reinforcement Learning on Web Interfaces Using Workflow-Guided ExplorationarXiv:1802.08802Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, et al.2018 · 119 citations
4. Mapping natural language commands to web elements ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetPanupong Pasupat et al.2018 · 49 citations
5. AutoBencher: Towards Declarative Benchmark Construction ↗arXiv (Cornell University) · no summary yetXiang Lisa Li et al.2024 · 22 citations
6. Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices ↗arXiv (Cornell University) · no summary yetEvan Zheran Liu et al.2020 · 14 citations
7. Towards Autonomous Mathematics Research ↗arXiv (Cornell University) · no summary yetTony Feng et al.2026 · 13 citations
8. Learning Abstract Models for Strategic Exploration and Fast Reward Transfer ↗arXiv (Cornell University) · no summary yetEvan Zheran Liu et al.2020 · 4 citations
9. Learning Abstract Models for Long-Horizon Exploration ↗no summary yetEvan Zheran Liu et al.2018 · 3 citations

🤝 Co-authors here

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

• Kelvin Guu ×2
• Panupong Pasupat ×2
• Percy Liang ×2
• Tianlin Shi

Venues

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

• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2017
• Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

🔗 Cited by

Papers of our library cite their works 296 times (of the 149,439 papers whose bibliographies we read); 56 citing papers with a page here →.

Updated 2 November 2026

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