--- title: "Ruiqi Zhong — author profile and papers — Elamur Research" description: "Ruiqi Zhong, Anthropic: 2 papers on Elamur Research (2022–2023), h-index 13 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/ruiqi-zhong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ruiqi-zhong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ruiqi Zhong # Ruiqi Zhong Ruiqi Zhong has 2 papers in our library, in 2022–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Bailin Wang](https://md.research.elamur.ai/free/en/authors/bailin-wang/), [Chien-Sheng Wu](https://md.research.elamur.ai/free/en/authors/chien-sheng-wu/), [Dan Klein](https://md.research.elamur.ai/free/en/authors/dan-klein/). 2 papers in our library · 2022–2023 [OpenAlex](https://openalex.org/A5046116522) · [ORCID](https://orcid.org/0000-0002-3153-4027) · [**h-index 13**](https://openalex.org/authors/A5046116522) · [38 works](https://openalex.org/works?filter=author.id:A5046116522) · [934 citations](https://openalex.org/works?filter=author.id:A5046116522&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ruiqi-zhong/#papers) · [🔗 Cited 1,083 times in our library](https://md.research.elamur.ai/free/en/authors/ruiqi-zhong/cited-by/) · [18 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4067](https://md.research.elamur.ai/free/en/paper-stars/page/41/#star-4067) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Ruiqi+Zhong) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ruiqi+Zhong) · [dblp](https://dblp.org/search?q=Ruiqi+Zhong) · [ACL Anthology](https://aclanthology.org/search/?q=Ruiqi+Zhong) ## Affiliations [🎓**University of California, Berkeley** Berkeley · United States 2018–2025 · 22 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🏢**Anthropic** San Francisco · United States 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/anthropic/) · [🎓**Columbia University** New York · United States 2018–2019 · 5 papers](https://md.research.elamur.ai/free/en/universities/columbia-university/) · [🎓**Chinese Academy of Medical Sciences & Peking Union Medical College** Beijing · China 2022 · 1 paperEducation · M.D](https://ror.org/02drdmm93) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [General Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/ruiqi-zhong/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/ruiqi-zhong/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models](https://md.research.elamur.ai/free/en/papers/xie-2022-unifiedskg-unifying-multi-tasking-structured/)** *(2022 · 407 citations)* Structured knowledge grounding (SKG) covers tasks where a system answers a user request by drawing on databases, knowledge graphs or tables. 2. **[Goal Driven Discovery of Distributional Differences via Language Descriptions](https://md.research.elamur.ai/free/en/papers/zhong-2023-goal-driven-discovery-distributional-differences/)** *(2023 · 42 citations)* Comparing two large text collections by hand is slow and ad hoc. The authors frame this as an ML task called D5. A system receives a user's exploration goal and a pair of corpora. It must return natural-language predicates that describe how the corpora differ in ways that matter for that goal. For example, reports… ## All works 20 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. **[UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models](https://md.research.elamur.ai/free/en/papers/xie-2022-unifiedskg-unifying-multi-tasking-structured/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianbao Xie, Chen Henry Wu, Peng Shi, et al.*2022 · 407 citations* 2. **[InCoder: A Generative Model for Code Infilling and Synthesis ↗](https://arxiv.org/abs/2204.05999) arXiv:2204.05999 · no summary yet**Daniel Fried et al.*2023 · 300 citations* 3. **[DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation ↗](https://arxiv.org/abs/2211.11501) arXiv:2211.11501 · no summary yet**Yuhang Lai et al.*2022 · 199 citations* 4. **[Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections ↗](https://arxiv.org/abs/2104.04670) arXiv:2104.04670 · no summary yet**Ruiqi Zhong et al.*2021 · 195 citations* 5. **[Semantic Evaluation for Text-to-SQL with Distilled Test Suites ↗](https://aclanthology.org/2020.emnlp-main.29/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Ruiqi Zhong, Tao Yu, Dan Klein*2020 · 166 citations* 6. **[Meta-learning via Language Model In-context Tuning ↗](https://arxiv.org/abs/2110.07814) arXiv:2110.07814 · no summary yet**Yanda Chen et al.*2021 · 160 citations* 7. **[Foundational Challenges in Assuring Alignment and Safety of Large Language Models ↗](https://arxiv.org/abs/2404.09932) arXiv:2404.09932 · no summary yet**Usman Anwar et al.*2024 · 87 citations* 8. **[Learning by Distilling Context ↗](https://arxiv.org/abs/2209.15189) arXiv:2209.15189 · no summary yet**Charlie Snell, Dan Klein, Ruiqi Zhong*2022 · 67 citations* 9. [**Goal Driven Discovery of Distributional Differences via Language Descriptions arXiv:2302.14233**Ruiqi Zhong, Peter Zhang, Steve Li, et al.*2023 · 42 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2023-goal-driven-discovery-distributional-differences/) 10. **[Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations ↗](https://arxiv.org/abs/2307.08678) arXiv (Cornell University) · no summary yet**Yanda Chen et al.*2023 · 41 citations* 11. **[Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level ↗](https://aclanthology.org/2021.findings-acl.334/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Ruiqi Zhong et al.*2021 · 39 citations* 12. **[Describing Differences between Text Distributions with Natural Language ↗](https://arxiv.org/abs/2201.12323) arXiv (Cornell University) · no summary yet**Ruiqi Zhong et al.*2022 · 34 citations* 13. **[Language Models Learn to Mislead Humans via RLHF ↗](https://arxiv.org/abs/2409.12822) arXiv (Cornell University) · no summary yet**Jiaxin Wen et al.*2024 · 33 citations* 14. **[Describing Differences in Image Sets with Natural Language ↗](https://doi.org/10.1109/cvpr52733.2024.02284) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Lisa Dunlap et al.*2024 · 28 citations* 15. **[Semantic Scaffolds for Pseudocode-to-Code Generation ↗](https://aclanthology.org/2020.acl-main.208/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Ruiqi Zhong, Mitchell Stern, Dan Klein*2020 · 24 citations* 16. **[Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL ↗](https://aclanthology.org/2023.emnlp-main.312/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ruiqi Zhong et al.*2023 · 15 citations* 17. **[Article-Level Slant and Polarization of News Consumption on Social Media ↗](https://doi.org/10.2139/ssrn.4932600) SSRN Electronic Journal · no summary yet**Luca Braghieri et al.*2024 · 11 citations* 18. **[Explaining Datasets in Words: Statistical Models with Natural Language Parameters ↗](https://doi.org/10.52202/079017-2520) neural information processing systems · no summary yet**Ruiqi Zhong et al.*2024 · 9 citations* 19. **[Approximating How Single Head Attention Learns ↗](https://arxiv.org/abs/2103.07601) arXiv (Cornell University) · no summary yet**Charlie Snell et al.*2021 · 5 citations* 20. **[The Effect of Model Size on Worst-Group Generalization ↗](https://arxiv.org/abs/2112.04094) arXiv (Cornell University) · no summary yet**Alan Pham et al.*2021* ## Co-authors here 12 co-authors with a page, the most papers together first. - [Bailin Wang](https://md.research.elamur.ai/free/en/authors/bailin-wang/) - [Chien-Sheng Wu](https://md.research.elamur.ai/free/en/authors/chien-sheng-wu/) - [Dan Klein](https://md.research.elamur.ai/free/en/authors/dan-klein/) - [Jacob Steinhardt](https://md.research.elamur.ai/free/en/authors/jacob-steinhardt/) - [Jinwoo Ahn](https://md.research.elamur.ai/free/en/authors/jinwoo-ahn/) - [Michihiro Yasunaga](https://md.research.elamur.ai/free/en/authors/michihiro-yasunaga/) - [Ming Zhong](https://md.research.elamur.ai/free/en/authors/ming-zhong/) - [Peng Shi](https://md.research.elamur.ai/free/en/authors/peng-shi/) - [Pengcheng Yin](https://md.research.elamur.ai/free/en/authors/pengcheng-yin/) - [Sida Wang](https://md.research.elamur.ai/free/en/authors/sida-wang/) - [Tianbao Xie](https://md.research.elamur.ai/free/en/authors/tianbao-xie/) - [Victor Zhong](https://md.research.elamur.ai/free/en/authors/victor-zhong/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×3: [EMNLP 2022](https://md.research.elamur.ai/free/en/venues/emnlp/2022/) - Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics - SSRN Electronic Journal - neural information processing systems ## Cited by Papers of our library cite their works 1,083 times (of the 149,439 papers whose bibliographies we read); [192 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ruiqi-zhong/cited-by/). Updated 30 October 2026