---
title: "Nick Haber · Stanford University — author profile and papers"
description: "Nick Haber, Stanford University: 4 papers on Elamur Research (2023–2025), h-index 27 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/nick-haber/"
---
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# Nick Haber

Nick Haber has 4 papers in our library, in 2023–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Gabriel Poesia](https://md.research.elamur.ai/free/en/authors/gabriel-poesia/), [Noah D. Goodman](https://md.research.elamur.ai/free/en/authors/noah-d-goodman/), [Alon Albalak](https://md.research.elamur.ai/free/en/authors/alon-albalak/).

4 papers in our library · 2023–2025

[OpenAlex](https://openalex.org/A5069105490) · [ORCID](https://orcid.org/0000-0001-8804-7804) · [Wikidata](https://www.wikidata.org/wiki/Q92144621) · [**h-index 27**](https://openalex.org/authors/A5069105490) · [146 works](https://openalex.org/works?filter=author.id:A5069105490) · [2,689 citations](https://openalex.org/works?filter=author.id:A5069105490&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/nick-haber/#papers) · [🔗 Cited 198 times in our library](https://md.research.elamur.ai/free/en/authors/nick-haber/cited-by/) · [9 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7650](https://md.research.elamur.ai/free/en/paper-stars/page/77/#star-7650)

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=Nick+Haber) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nick+Haber) · [dblp](https://dblp.org/search?q=Nick+Haber) · [ACL Anthology](https://aclanthology.org/search/?q=Nick+Haber)

## Affiliations

[🎓**Stanford University** Stanford · United States 2012–2026 · 103 papers*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🏥**Stanford Medicine** Stanford · United States 2016–2022 · 9 papers](https://md.research.elamur.ai/free/en/hospitals/stanford-medicine/) · [🤝**Mathematical Sciences Research Institute** Berkeley · United States 2016 · 2 papers](https://ror.org/05hs5r386) · [🎓**McGill University** Montreal · Canada 2016 · 2 papers](https://md.research.elamur.ai/free/en/universities/mcgill-university/)

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.

📚 Shelves 12 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Education · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/education/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/nick-haber/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/nick-haber/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/nick-haber/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions](https://md.research.elamur.ai/free/en/papers/zelikman-2023-parsel-algorithmic-reasoning-language-models/)** *(2023 · 56 citations)* Large language models that write code tend to break down on long, multi-step tasks, because a single wrong token can ruin an entire program.
2. **[Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models](https://md.research.elamur.ai/free/en/papers/albalak-2025-big-math-large-scale-high/)** *(2025 · 43 citations)* Reinforcement learning for reasoning in LLMs needs math problems whose answers can be checked automatically.
3. **[Learning Formal Mathematics From Intrinsic Motivation](https://md.research.elamur.ai/free/en/papers/poesia-2024-learning-formal-mathematics-intrinsic-motivation/)** *(2024 · 23 citations)* Most AI theorem provers depend on human-written formal proofs, which are scarce. They are also evaluated on fixed problem sets chosen by people. This paper asks whether an agent can build mathematical skill from a domain's axioms alone, deciding for itself which statements to work on. The authors present MINIMO, in…
4. **[ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code](https://md.research.elamur.ai/free/en/papers/hua-2025-researchcodebench-benchmarking-llms-implementing/)** *(2025 · 16 citations)* Can LLMs turn genuinely new ML ideas, ones published after their training data was gathered, into working code? ResearchCodeBench tests this with an execution-based benchmark built from 20 recent machine learning papers.

## All works

13 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. **[Holodeck: Language Guided Generation of 3D Embodied AI Environments ↗](https://doi.org/10.1109/cvpr52733.2024.01536) 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**Yue Yang et al.*2024 · 115 citations*
2. **[Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions](https://md.research.elamur.ai/free/en/papers/zelikman-2023-parsel-algorithmic-reasoning-language-models/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Eric Zelikman, Qian Huang, Gabriel Poesia, et al.*2023 · 56 citations*
3. [**Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models arXiv:2502.17387**Alon Albalak, Duy Phung, Nathan Lile, et al.*2025 · 43 citations*](https://md.research.elamur.ai/free/en/papers/albalak-2025-big-math-large-scale-high/)
4. **[Learning Formal Mathematics From Intrinsic Motivation](https://md.research.elamur.ai/free/en/papers/poesia-2024-learning-formal-mathematics-intrinsic-motivation/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Gabriel Poesia, David Broman, Nick Haber, et al.*2024 · 23 citations*
5. **[ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code](https://md.research.elamur.ai/free/en/papers/hua-2025-researchcodebench-benchmarking-llms-implementing/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Tianyu Hua; Harper Hua; Violet Xiang; Benjamin Klieger; Sang T. Truong; Weixin Liang; Fan-Yun Sun;, Nick Haber*2025 · 16 citations*
6. **[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*
7. **[Learning Next Action Predictors from Human-Computer Interaction ↗](https://arxiv.org/abs/2603.05923) arXiv (Cornell University) · no summary yet**Omar Shaikh et al.*2026 · 3 citations*
8. **[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*
9. **[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*
10. **[When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration ↗](https://doi.org/10.52202/085713-3512) neural information processing systems · no summary yet**Quan Shi et al.*2025 · 2 citations*
11. **[Data-efficient pre-training by scaling synthetic megadocs ↗](https://arxiv.org/abs/2603.18534) arXiv (Cornell University) · no summary yet**Konwoo Kim et al.*2026 · 1 citation*
12. **[DelusionEval: Measuring Delusion-Linked Behaviors in AI Chatbots ↗](https://arxiv.org/abs/2608.05004) arXiv (Cornell University) · no summary yet**Jared Moore et al.*2026*
13. **[Neural Nonmyopic Bayesian Optimization in Dynamic Cost Settings ↗](https://arxiv.org/abs/2601.06505) arXiv (Cornell University) · no summary yet**Sang Truong et al.*2026*

## Co-authors here

12 of 15 co-authors with a page, the most papers together first.

- [Gabriel Poesia](https://md.research.elamur.ai/free/en/authors/gabriel-poesia/) ×2
- [Noah D. Goodman](https://md.research.elamur.ai/free/en/authors/noah-d-goodman/) ×2
- [Alon Albalak](https://md.research.elamur.ai/free/en/authors/alon-albalak/)
- [Anikait Singh](https://md.research.elamur.ai/free/en/authors/anikait-singh/)
- [Chase Blagden](https://md.research.elamur.ai/free/en/authors/chase-blagden/)
- [Dakota Mahan](https://md.research.elamur.ai/free/en/authors/dakota-mahan/)
- [David Broman](https://md.research.elamur.ai/free/en/authors/david-broman/)
- [Duy Phung](https://md.research.elamur.ai/free/en/authors/duy-phung/)
- [Eric Zelikman](https://md.research.elamur.ai/free/en/authors/eric-zelikman/)
- [Kanishk Gandhi](https://md.research.elamur.ai/free/en/authors/kanishk-gandhi/)
- [Louis Castricato](https://md.research.elamur.ai/free/en/authors/louis-castricato/)
- [Nathan Lile](https://md.research.elamur.ai/free/en/authors/nathan-lile/)

## 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/) ×3: [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/), [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/), [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)
- 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 2023 Conference on Empirical Methods in Natural Language Processing
- neural information processing systems

## Cited by

Papers of our library cite their works 198 times (of the 149,439 papers whose bibliographies we read); [80 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/nick-haber/cited-by/).

Updated 3 November 2026