--- title: "Xingyu Dang · Princeton University — author profile and papers" description: "Xingyu Dang, Princeton University: 2 papers on Elamur Research (2024–2025), h-index 1 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/xingyu-dang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xingyu-dang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xingyu Dang # Xingyu Dang Xingyu Dang has 2 papers in our library, in 2024–2025, 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/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Kaiyue Wen](https://md.research.elamur.ai/free/en/authors/kaiyue-wen/), [Aditi Raghunathan](https://md.research.elamur.ai/free/en/authors/aditi-raghunathan/), [Kaifeng Lyu](https://md.research.elamur.ai/free/en/authors/kaifeng-lyu/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5108929019) · [**h-index 1**](https://openalex.org/authors/A5108929019) · [7 works](https://openalex.org/works?filter=author.id:A5108929019) · [1 citations](https://openalex.org/works?filter=author.id:A5108929019&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xingyu-dang/#papers) · [🔗 Cited 30 times in our library](https://md.research.elamur.ai/free/en/authors/xingyu-dang/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10652](https://md.research.elamur.ai/free/en/paper-stars/page/107/#star-10652) 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=Xingyu+Dang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xingyu+Dang) · [dblp](https://dblp.org/search?q=Xingyu+Dang) · [ACL Anthology](https://aclanthology.org/search/?q=Xingyu+Dang) ## Affiliations [🎓**Princeton University** Princeton · United States 2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/princeton-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 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 3 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](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 [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xingyu-dang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/xingyu-dang/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval](https://md.research.elamur.ai/free/en/papers/wen-2024-rnns-transformers-yet-key-bottleneck/)** *(2024 · 17 citations)* The paper asks whether memory-efficient recurrent models such as Mamba, RWKV and Linear Transformers can match the expressive power of softmax-attention Transformers on algorithmic tasks, particularly when both use Chain-of-Thought (CoT). 2. **[Weight Ensembling Improves Reasoning in Language Models](https://md.research.elamur.ai/free/en/papers/dang-2025-weight-ensembling-improves-reasoning-language/)** *(2025 · 10 citations)* When reasoning models are trained with supervised finetuning (SFT), the variety of their outputs shrinks. Pass@1 keeps rising, but Pass@k peaks early and then falls, which weakens test-time scaling methods such as majority voting or reranking with a reward model. The authors finetune Gemma-2-2B and Qwen-2.5-0.5B on… ## All works 4 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. [**RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval arXiv:2402.18510**Kaiyue Wen, Xingyu Dang, Kaifeng Lyu*2024 · 17 citations*](https://md.research.elamur.ai/free/en/papers/wen-2024-rnns-transformers-yet-key-bottleneck/) 2. [**Weight Ensembling Improves Reasoning in Language Models arXiv:2504.10478 · COLM 2025**Xingyu Dang, Christina Baek, Kaiyue Wen, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/dang-2025-weight-ensembling-improves-reasoning-language/) 3. **[Goedel-Architect: Streamlining Formal Theorem Proving with Blueprint Generation and Refinement ↗](https://arxiv.org/abs/2606.06468) arXiv:2606.06468 · no summary yet**Jui-Hui Chung et al.*2026 · 2 citations* 4. **[Fantastic Pretraining Optimizers and Where to Find Them II: Hyperball Optimization ↗](https://arxiv.org/abs/2606.16899) arXiv (Cornell University) · no summary yet**Kaiyue Wen et al.*2026 · 2 citations* ## Co-authors here 4 co-authors with a page, the most papers together first. - [Kaiyue Wen](https://md.research.elamur.ai/free/en/authors/kaiyue-wen/) ×2 - [Aditi Raghunathan](https://md.research.elamur.ai/free/en/authors/aditi-raghunathan/) - [Kaifeng Lyu](https://md.research.elamur.ai/free/en/authors/kaifeng-lyu/) - [Zico Kolter](https://md.research.elamur.ai/free/en/authors/zico-kolter/) ## Cited by Papers of our library cite their works 30 times (of the 149,439 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xingyu-dang/cited-by/). Updated 3 November 2026