--- title: "Yisong Yue — author profile and papers — Elamur Research" description: "Yisong Yue, California Institute of Technology: 2 papers on Elamur Research (2024–2026), h-index 43 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/yisong-yue/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yisong-yue/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yisong Yue # Yisong Yue Yisong Yue has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Dan Zhang](https://md.research.elamur.ai/free/en/authors/dan-zhang/), [Jie Tang](https://md.research.elamur.ai/free/en/authors/jie-tang/), [Sining Zhoubian](https://md.research.elamur.ai/free/en/authors/sining-zhoubian/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5085826758) · [ORCID](https://orcid.org/0000-0001-9127-1989) · [Wikidata](https://www.wikidata.org/wiki/Q98640204) · [**h-index 43**](https://openalex.org/authors/A5085826758) · [217 works](https://openalex.org/works?filter=author.id:A5085826758) · [6,609 citations](https://openalex.org/works?filter=author.id:A5085826758&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yisong-yue/#papers) · [🔗 Cited 218 times in our library](https://md.research.elamur.ai/free/en/authors/yisong-yue/cited-by/) · [10 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6321](https://md.research.elamur.ai/free/en/paper-stars/page/64/#star-6321) 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=Yisong+Yue) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yisong+Yue) · [dblp](https://dblp.org/search?q=Yisong+Yue) · [ACL Anthology](https://aclanthology.org/search/?q=Yisong+Yue) ## Affiliations [🎓**California Institute of Technology** Pasadena · United States 2014–2026 · 159 papersEmployment since 2014 · Professor, Computing and Mathematical Sciences*current*](https://md.research.elamur.ai/free/en/universities/california-institute-of-technology/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2011–2021 · 8 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**Cornell University** Ithaca · United States 2005–2011 · 8 papersEducation 2005–2010 · PhD, Computer Science](https://md.research.elamur.ai/free/en/universities/cornell-university/) · [🏢**Walt Disney** Burbank · United States 2014–2017 · 5 papers](https://ror.org/04eg47h42) · [🎓**The University of Texas at Austin** Austin · United States 2020–2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2019–2021 · 2 papersEducation](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Illinois Mathematics and Science Academy** Aurora · United States Education](https://ror.org/024xf4148) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yisong-yue/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yisong-yue/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search](https://md.research.elamur.ai/free/en/papers/zhang-2024-rest-mcts-llm-self-training/)** *(2024 · 200 citations)* LLM self-training usually keeps only the generated solutions whose final answer is correct. Many of those solutions still contain flawed or useless intermediate steps, so the fine-tuning data ends up noisy. Process reward models (PRMs) can check each step, but they normally need costly step-level human labels.… 2. **[DataSciBench: An LLM Agent Benchmark for Data Science](https://md.research.elamur.ai/free/en/papers/zhang-2026-datascibench-llm-agent-benchmark-data/)** *(2026 · 13 citations)* Most benchmarks for LLMs in data science test isolated tasks with simple metrics such as accuracy and with ground truth that is easy to obtain. ## 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. **[ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search](https://md.research.elamur.ai/free/en/papers/zhang-2024-rest-mcts-llm-self-training/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Dan Zhang, Sining Zhoubian, Ziniu Hu, et al.*2024 · 200 citations* 2. **[An Efficient Simulation-Based Approach to Ambulance Fleet Allocation and Dynamic Redeployment ↗](https://doi.org/10.1609/aaai.v26i1.8176) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yisong Yue, Lavanya Marla, Ramayya Krishnan*70 citations* 3. **[Factorized Variational Autoencoders for Modeling Audience Reactions to Movies ↗](https://doi.org/10.1109/cvpr.2017.637) 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**Zhiwei Deng et al.*2017 · 62 citations* 4. **[SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models ↗](https://arxiv.org/abs/2401.07950) arXiv:2401.07950 · no summary yet**Dan Zhang et al.*2024 · 37 citations* 5. **[DataSciBench: An LLM Agent Benchmark for Data Science](https://md.research.elamur.ai/free/en/papers/zhang-2026-datascibench-llm-agent-benchmark-data/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dan Zhang, Sining Zhoubian, Min Cai, et al.*2026 · 13 citations* 6. **[Neurosymbolic Programming for Science ↗](https://arxiv.org/abs/2210.05050) arXiv:2210.05050 · no summary yet**Jennifer J. Sun et al.*2022 · 6 citations* 7. **[NitroGen: An Open Foundation Model for Generalist Gaming Agents ↗](https://arxiv.org/abs/2601.02427) arXiv (Cornell University) · no summary yet**Loïc Magne et al.*2026 · 5 citations* 8. **[Kuramoto Orientation Diffusion Models ↗](https://doi.org/10.52202/085713-0143) neural information processing systems · no summary yet**Yue Song et al.*2025 · 1 citation* 9. **[Unsupervised Representation Learning From Sparse Transformation Analysis ↗](https://doi.org/10.1109/tpami.2025.3645586) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Yue Song et al.*2025 · 1 citation* 10. **[Krause Synchronization Transformers ↗](https://arxiv.org/abs/2602.11534) arXiv (Cornell University) · no summary yet**Jingkun Liu et al.*2026* 11. **[Beyond Pairwise Preferences: Listwise Reward-Aware Alignment for Diffusion Models ↗](https://arxiv.org/abs/2605.26491) arXiv (Cornell University) · no summary yet**Austin Wang et al.*2026* 12. **[Langevin Flows for Modeling Neural Latent Dynamics ↗](https://arxiv.org/abs/2507.11531) arXiv (Cornell University) · no summary yet**Yue Song et al.*2025* ## Co-authors here 7 co-authors with a page, the most papers together first. - [Dan Zhang](https://md.research.elamur.ai/free/en/authors/dan-zhang/) ×2 - [Jie Tang](https://md.research.elamur.ai/free/en/authors/jie-tang/) ×2 - [Sining Zhoubian](https://md.research.elamur.ai/free/en/authors/sining-zhoubian/) ×2 - [Ziniu Hu](https://md.research.elamur.ai/free/en/authors/ziniu-hu/) ×2 - [Min Cai](https://md.research.elamur.ai/free/en/authors/min-cai/) - [Wei Wang](https://md.research.elamur.ai/free/en/authors/wei-wang/) - [Yuxiao Dong](https://md.research.elamur.ai/free/en/authors/yuxiao-dong/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Transactions on Pattern Analysis and Machine Intelligence - Proceedings of the AAAI Conference on Artificial Intelligence - neural information processing systems ## Cited by Papers of our library cite their works 218 times (of the 149,439 papers whose bibliographies we read); [60 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yisong-yue/cited-by/). Updated 2 November 2026