--- title: "Eric Zelikman · Stanford University — author profile and papers" description: "Eric Zelikman, Stanford University: 2 papers on Elamur Research (2022–2024), h-index 7 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/eric-zelikman/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/eric-zelikman/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Eric Zelikman # Eric Zelikman Eric Zelikman has 2 papers in our library, in 2022–2024, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Noah D. Goodman](https://md.research.elamur.ai/free/en/authors/noah-d-goodman/), [Jesse Mu](https://md.research.elamur.ai/free/en/authors/jesse-mu/), [Kanishk Gandhi](https://md.research.elamur.ai/free/en/authors/kanishk-gandhi/). 2 papers in our library · 2022–2024 [OpenAlex](https://openalex.org/A5074923579) · [ORCID](https://orcid.org/0009-0001-7368-0460) · [**h-index 7**](https://openalex.org/authors/A5074923579) · [20 works](https://openalex.org/works?filter=author.id:A5074923579) · [427 citations](https://openalex.org/works?filter=author.id:A5074923579&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/eric-zelikman/#papers) · [🔗 Cited 1,597 times in our library](https://md.research.elamur.ai/free/en/authors/eric-zelikman/cited-by/) · [10 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2875](https://md.research.elamur.ai/free/en/paper-stars/page/29/#star-2875) 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=Eric+Zelikman) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Eric+Zelikman) · [dblp](https://dblp.org/search?q=Eric+Zelikman) · [ACL Anthology](https://aclanthology.org/search/?q=Eric+Zelikman) ## Affiliations [🎓**Stanford University** Stanford · United States 2020–2025 · 13 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) 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 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/eric-zelikman/year/2024/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/eric-zelikman/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[STaR: Bootstrapping Reasoning With Reasoning](https://md.research.elamur.ai/free/en/papers/zelikman-2022-star-bootstrapping-reasoning-reasoning/)** *(2022 · 777 citations)* STaR (Self-Taught Reasoner) is a self-training loop for teaching a language model to produce step-by-step rationales. 2. **[Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels](https://md.research.elamur.ai/free/en/papers/franken-2024-self-supervised-alignment-mutual-information/)** *(2024 · 16 citations)* Teaching a language model to respect a set of behavioral rules (a "constitution") usually depends on human preference labels, curated demonstrations, or reward models with reinforcement learning. ## All works 12 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. **[Holistic Evaluation of Language Models ↗](https://arxiv.org/abs/2211.09110) arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023 · no summary yet**Percy Liang et al.*2022 · 1,001 citations* 2. [**STaR: Bootstrapping Reasoning With Reasoning**Eric Zelikman, Yuhuai Wu, Jesse Mu, et al.*Mova's core list · 777 citations*](https://md.research.elamur.ai/free/en/papers/zelikman-2022-star-bootstrapping-reasoning-reasoning/) 3. **[Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions ↗](https://arxiv.org/abs/2212.10561) arXiv:2212.10561 · no summary yet**Eric Zelikman et al.*2023 · 56 citations* 4. **[Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics ↗](https://aclanthology.org/2022.emnlp-main.309/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Elisa Kreiss et al.*2022 · 32 citations* 5. **[Certified Deductive Reasoning with Language Models ↗](https://arxiv.org/abs/2306.04031) arXiv:2306.04031 · no summary yet**Gabriel Poesia et al.*2023 · 23 citations* 6. **[Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels](https://md.research.elamur.ai/free/en/papers/franken-2024-self-supervised-alignment-mutual-information/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jan-Philipp Franken, Eric Zelikman, Rafael Rafailov, et al.*2024 · 16 citations* 7. **[Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency ↗](https://aclanthology.org/2023.emnlp-main.135/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Eric Zelikman et al.*2023 · 16 citations* 8. **[Evaluating the Disentanglement of Deep Generative Models through Manifold Topology ↗](https://arxiv.org/abs/2006.03680) arXiv (Cornell University) · no summary yet**Sharon Zhou et al.*2020 · 8 citations* 9. **[ContextRef: Evaluating Referenceless Metrics For Image Description Generation ↗](https://arxiv.org/abs/2309.11710) arXiv (Cornell University) · no summary yet**Elisa Kreiss et al.*2023 · 3 citations* 10. **[Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized Language Model Finetuning Using Shared Randomness ↗](https://arxiv.org/abs/2306.10015) arXiv (Cornell University) · no summary yet**Eric Zelikman et al.*2023 · 3 citations* 11. **[Lexinvariant Language Models ↗](https://doi.org/10.52202/075280-1042) neural information processing systems · no summary yet**Qian Huang et al.*2023 · 2 citations* 12. **[Contextual Salience for Fast and Accurate Sentence Vectors ↗](https://arxiv.org/abs/1803.08493) arXiv (Cornell University) · no summary yet**Eric Zelikman, Richard Socher*2018 · 1 citation* ## Co-authors here 6 co-authors with a page, the most papers together first. - [Noah D. Goodman](https://md.research.elamur.ai/free/en/authors/noah-d-goodman/) ×2 - [Jesse Mu](https://md.research.elamur.ai/free/en/authors/jesse-mu/) - [Kanishk Gandhi](https://md.research.elamur.ai/free/en/authors/kanishk-gandhi/) - [Rafael Rafailov](https://md.research.elamur.ai/free/en/authors/rafael-rafailov/) - [Tobias Gerstenberg](https://md.research.elamur.ai/free/en/authors/tobias-gerstenberg/) - [Yuhuai Wu](https://md.research.elamur.ai/free/en/authors/yuhuai-wu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) ×2: [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/), [NeurIPS 2022](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/) - Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing ×2 - neural information processing systems ## Cited by Papers of our library cite their works 1,597 times (of the 149,439 papers whose bibliographies we read); [372 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/eric-zelikman/cited-by/). Updated 30 October 2026