--- title: "Alon Albalak — author profile and papers" description: "Alon Albalak: 2 papers on Elamur Research (2023–2024), h-index 7 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/alon-albalak/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/alon-albalak/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Alon Albalak # Alon Albalak Alon Albalak has 2 papers in our library, in 2023–2024, 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 [Liangming Pan](https://md.research.elamur.ai/free/en/authors/liangming-pan/), [Xinyi Wang](https://md.research.elamur.ai/free/en/authors/xinyi-wang/), [Bairu Hou](https://md.research.elamur.ai/free/en/authors/bairu-hou/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5090026363) · [**h-index 7**](https://openalex.org/authors/A5090026363) · [44 works](https://openalex.org/works?filter=author.id:A5090026363) · [634 citations](https://openalex.org/works?filter=author.id:A5090026363&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/alon-albalak/#papers) · [🔗 743 citations in our library](https://md.research.elamur.ai/free/en/authors/alon-albalak/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Star rank #3534](https://md.research.elamur.ai/free/en/paper-stars/page/36/#star-3534) 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=Alon+Albalak) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Alon+Albalak) · [dblp](https://dblp.org/search?q=Alon+Albalak) · [ACL Anthology](https://aclanthology.org/search/?q=Alon+Albalak) ## Affiliations [🎓**University of California, Santa Barbara** Santa Barbara · United States 2019–2024 · 19 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-santa-barbara/) · [🎓**Stanford University** Stanford · United States 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**University of British Columbia** Vancouver · Canada 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-british-columbia/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 5[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/) · [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/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) 🧭 Topics 2[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [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/papers/albalak-2024-survey-data-selection-language-models/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/papers/pan-2023-logic-lm-empowering-large-language/) ## Papers The most cited first (OpenAlex and our library). 1. **[Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning](https://md.research.elamur.ai/free/en/papers/pan-2023-logic-lm-empowering-large-language/)** *(2023 · 370 citations)* Large language models can write out step-by-step explanations, but on hard logic problems their final answers often don't follow from the reasoning they produced. 2. **[A Survey on Data Selection for Language Models](https://md.research.elamur.ai/free/en/papers/albalak-2024-survey-data-selection-language-models/)** *(2024 · 85 citations)* Large language models depend on huge web-scale corpora, but using every available document is often wasteful or harmful because text quality varies widely. ## All works 8 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. [**Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning**Liangming Pan, Alon Albalak, Xinyi Wang, et al.*arXiv:2305.12295 · 370 citations*](https://md.research.elamur.ai/free/en/papers/pan-2023-logic-lm-empowering-large-language/) 2. [**A Survey on Data Selection for Language Models**Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.*arXiv:2402.16827 · 85 citations*](https://md.research.elamur.ai/free/en/papers/albalak-2024-survey-data-selection-language-models/) 3. **[Generative Reward Models](https://arxiv.org/abs/2410.12832) (original ↗)**Dakota Mahan et al.*2024 · arXiv:2410.12832 · 55 citations · no summary yet* 4. **[Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought](https://arxiv.org/abs/2501.04682) (original ↗)**Violet Xiang et al.*2025 · arXiv:2501.04682 · 44 citations · no summary yet* 5. **[Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models](https://arxiv.org/abs/2502.17387) (original ↗)**Alon Albalak et al.*2025 · arXiv:2502.17387 · 42 citations · no summary yet* 6. **[Efficient Online Data Mixing For Language Model Pre-Training](https://arxiv.org/abs/2312.02406) (original ↗)**Alon Albalak et al.*2023 · arXiv:2312.02406 · 31 citations · no summary yet* 7. **[Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models](https://arxiv.org/abs/2412.02980) (original ↗)**Alex Havrilla et al.*2024 · arXiv:2412.02980 · 16 citations · no summary yet* 8. **[Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data](https://arxiv.org/abs/2302.00674) (original ↗)**Alon Albalak, Colin Raffel, William Yang Wang*2023 · arXiv:2302.00674 · 9 citations · no summary yet* ## Co-authors here 11 co-authors with a page, the most papers together first. - [Liangming Pan](https://md.research.elamur.ai/free/en/authors/liangming-pan/) ×2 - [Xinyi Wang](https://md.research.elamur.ai/free/en/authors/xinyi-wang/) ×2 - [Bairu Hou](https://md.research.elamur.ai/free/en/authors/bairu-hou/) - [Colin Raffel](https://md.research.elamur.ai/free/en/authors/colin-raffel/) - [Nathan Lambert](https://md.research.elamur.ai/free/en/authors/nathan-lambert/) - [Niklas Muennighoff](https://md.research.elamur.ai/free/en/authors/niklas-muennighoff/) - [Sang Michael Xie](https://md.research.elamur.ai/free/en/authors/sang-michael-xie/) - [Shayne Longpre](https://md.research.elamur.ai/free/en/authors/shayne-longpre/) - [Shiyu Chang](https://md.research.elamur.ai/free/en/authors/shiyu-chang/) - [William Yang Wang](https://md.research.elamur.ai/free/en/authors/william-yang-wang/) - [Yanai Elazar](https://md.research.elamur.ai/free/en/authors/yanai-elazar/) ## 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…](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) ## Cited by Papers of our library cite their works 743 times (of the 141,840 papers whose bibliographies we read); [40 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/alon-albalak/cited-by/). Updated 24 October 2026