--- title: "Yuandong Tian — author profile and papers — Elamur Research" description: "Yuandong Tian, Carnegie Mellon University: 2 papers on Elamur Research (2023–2024), h-index 31 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/yuandong-tian/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuandong-tian/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuandong Tian # Yuandong Tian Yuandong Tian 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/); often with [Beidi Chen](https://md.research.elamur.ai/free/en/authors/beidi-chen/), [Dan Klein](https://md.research.elamur.ai/free/en/authors/dan-klein/), [Kevin Yang](https://md.research.elamur.ai/free/en/authors/kevin-yang/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5106668475) · [**h-index 31**](https://openalex.org/authors/A5106668475) · [116 works](https://openalex.org/works?filter=author.id:A5106668475) · [4,771 citations](https://openalex.org/works?filter=author.id:A5106668475&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yuandong-tian/#papers) · [🔗 Cited 680 times in our library](https://md.research.elamur.ai/free/en/authors/yuandong-tian/cited-by/) · [8 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4869](https://md.research.elamur.ai/free/en/paper-stars/page/49/#star-4869) 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=Yuandong+Tian) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuandong+Tian) · [dblp](https://dblp.org/search?q=Yuandong+Tian) · [ACL Anthology](https://aclanthology.org/search/?q=Yuandong+Tian) ## Affiliations [🎓**Carnegie Mellon University** Pittsburgh · United States 2009–2026 · 15 papers*current*](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🏢**Meta** Menlo Park · United States 2015–2025 · 34 papers](https://md.research.elamur.ai/free/en/companies/meta/) · [🏢**Meta** London · United Kingdom 2017–2023 · 11 papers](https://md.research.elamur.ai/free/en/companies/meta-united-kingdom/) · [🏢**Meta** Tel Aviv · Israel 2017–2021 · 7 papers](https://md.research.elamur.ai/free/en/companies/meta-israel/) · [🎓**University of California, Berkeley** Berkeley · United States 2019–2021 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2006–2008 · 4 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Pennsylvania State University** State College · United States 2021–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/pennsylvania-state-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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).[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/) 🧭 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 [**2024** 1 paper Yuandong Tian's papers of 2024](https://md.research.elamur.ai/free/en/papers/chen-2024-magicpig-lsh-sampling-efficient-llm/) · [**2023** 1 paper Yuandong Tian's papers of 2023](https://md.research.elamur.ai/free/en/papers/yang-2023-doc-improving-long-story-coherence/) ## Papers The most cited first (OpenAlex and our library). 1. **[DOC: Improving Long Story Coherence With Detailed Outline Control](https://md.research.elamur.ai/free/en/papers/yang-2023-doc-improving-long-story-coherence/)** *(2023 · 82 citations)* Automatically generated stories that run to several thousand words often read smoothly at the passage level but lose the overall plot, drifting away from the intended plan. 2. **[MagicPIG: LSH Sampling for Efficient LLM Generation](https://md.research.elamur.ai/free/en/papers/chen-2024-magicpig-lsh-sampling-efficient-llm/)** *(2024 · 66 citations)* Serving long-context LLMs is constrained by the KV cache. It consumes GPU memory and makes decoding memory-bound. Many speedups keep only the highest-scoring keys (TopK attention). The authors show this is a biased estimator that breaks down when attention is spread out, as in aggregation tasks like common- or… ## All works 10 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. **[FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search ↗](https://arxiv.org/abs/1812.03443) arXiv:1812.03443 · no summary yet**Bichen Wu et al.*2018 · 1,386 citations* 2. **[Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time ↗](https://arxiv.org/abs/2310.17157) ICML 2023 · no summary yet**Zichang Liu et al.*2023 · 184 citations* 3. **[TravelPlanner: A Benchmark for Real-World Planning with Language Agents ↗](https://arxiv.org/abs/2402.01622) arXiv:2402.01622 · no summary yet**Jian Xie et al.*2024 · 118 citations* 4. **[CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication ↗](https://aclanthology.org/P19-1651/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Jin-Hwa Kim et al.*2019 · 91 citations* 5. **[DOC: Improving Long Story Coherence With Detailed Outline Control](https://md.research.elamur.ai/free/en/papers/yang-2023-doc-improving-long-story-coherence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kevin Yang, Dan Klein, Nanyun Peng, et al.*2023 · 82 citations* 6. [**MagicPIG: LSH Sampling for Efficient LLM Generation arXiv:2410.16179**Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, et al.*2024 · 66 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-magicpig-lsh-sampling-efficient-llm/) 7. **[Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge ↗](https://aclanthology.org/2025.emnlp-main.583/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yet**Tianhao Wu et al.*2025 · 59 citations* 8. **[Agent-as-a-Judge: Evaluate Agents with Agents ↗](https://arxiv.org/abs/2410.10934) arXiv:2410.10934 · no summary yet**Mingchen Zhuge et al.*2024 · 46 citations* 9. **[NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions ↗](https://arxiv.org/abs/2502.13124) arXiv:2502.13124 · no summary yet**Weizhe Yuan et al.*2025 · 24 citations* 10. **[GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? ↗](https://arxiv.org/abs/2502.05252) arXiv:2502.05252 · no summary yet**Yang Zhou et al.*2025 · 17 citations* ## Co-authors here 6 co-authors with a page, the most papers together first. - [Beidi Chen](https://md.research.elamur.ai/free/en/authors/beidi-chen/) - [Dan Klein](https://md.research.elamur.ai/free/en/authors/dan-klein/) - [Kevin Yang](https://md.research.elamur.ai/free/en/authors/kevin-yang/) - [Leon Bottou](https://md.research.elamur.ai/free/en/authors/leon-bottou/) - [Matthijs Douze](https://md.research.elamur.ai/free/en/authors/matthijs-douze/) - [Nanyun Peng](https://md.research.elamur.ai/free/en/authors/nanyun-peng/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2023](https://md.research.elamur.ai/free/en/venues/acl/2023/) - ICML 2023 - Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 680 times (of the 141,840 papers whose bibliographies we read); [32 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuandong-tian/cited-by/). Updated 24 October 2026