--- title: "Di Niu — author profile and papers — Elamur Research" description: "Di Niu: 2 papers on Elamur Research (2026) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/di-niu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/di-niu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Di Niu # Di Niu Di Niu has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/). 2 papers in our library · 2026 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/di-niu/#papers) · [🔗 Cited 4 times in our library](https://md.research.elamur.ai/free/en/authors/di-niu/cited-by/) · [⭐ Paper Stars ranking: #11981](https://md.research.elamur.ai/free/en/paper-stars/page/120/#star-11981) 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=Di+Niu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Di+Niu) · [dblp](https://dblp.org/search?q=Di+Niu) · [ACL Anthology](https://aclanthology.org/search/?q=Di+Niu) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 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 [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/di-niu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence](https://md.research.elamur.ai/free/en/papers/ghasemabadi-2026-guided-gut-efficient-test-time/)** *(2026 · 4 citations)* Test-time scaling helps LLMs reason better, but common approaches are costly. Long chain-of-thought, Best-of-N sampling and search scored by a separate Process Reward Model (PRM) all demand a lot of compute and memory. The authors propose Guided by Gut (GG), which removes external verifiers entirely. GG runs a light… 2. **[PerfCoder: Large Language Models for Interpretable Code Performance Optimization](https://md.research.elamur.ai/free/en/papers/yang-2026-perfcoder-large-language-models-interpretable/)** *(2026)* LLMs usually write functionally correct code, but they are weak at making programs run faster. The authors attribute this mainly to missing supervision that explains which optimization helps and why , not only to a lack of data. They present PerfCoder, a family of fine-tuned LLMs for C++ performance optimization. ## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [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/) ## Cited by Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/di-niu/cited-by/). Updated 2 November 2026