---
title: "Bin Yu — author profile and papers — Elamur Research"
description: "Bin Yu: 3 papers on Elamur Research (2025–2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/bin-yu/"
---
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# Bin Yu

Bin Yu has 3 papers in our library, in 2025–2026, 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 [Cheng-Lin Liu](https://md.research.elamur.ai/free/en/authors/cheng-lin-liu/), [Dugang Liu](https://md.research.elamur.ai/free/en/authors/dugang-liu/), [Han Hu](https://md.research.elamur.ai/free/en/authors/han-hu/).

3 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5139778946) · [**h-index 1**](https://openalex.org/authors/A5139778946) · [3 works](https://openalex.org/works?filter=author.id:A5139778946) · [5 citations](https://openalex.org/works?filter=author.id:A5139778946&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/bin-yu/#papers) · [🔗 Cited 14 times in our library](https://md.research.elamur.ai/free/en/authors/bin-yu/cited-by/) · [⭐ Paper Stars ranking: #9059](https://md.research.elamur.ai/free/en/paper-stars/page/91/#star-9059)

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=Bin+Yu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Bin+Yu) · [dblp](https://dblp.org/search?q=Bin+Yu) · [ACL Anthology](https://aclanthology.org/search/?q=Bin+Yu)

## 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).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/bin-yu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/bin-yu/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/yu-2025-long-short-chain-thought-mixture/)** *(2025 · 13 citations)* Distilling chain-of-thought (CoT) traces from large reasoning models such as DeepSeek R1 into ordinary LLMs through SFT teaches them to reason.
2. **[Formally Specifying the Intended Behavior of the Program: LLM-Driven Neuro-Symbolic Program Specification Synthesis](https://md.research.elamur.ai/free/en/papers/wen-2026-formally-specifying-intended-behavior-program/)** *(2026 · 5 citations)* Deductive verification can prove that C code meets its requirements, but only after someone writes formal annotations such as contracts and loop invariants.
3. **[MR-ALIGN: Meta-Reasoning Informed Factuality Alignment for Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/wang-2026-mr-align-meta-reasoning-informed/)** *(2026 · 2 citations)* Large reasoning models (LRMs) handle multi-step problems well, but extended thinking adds little on fact-based questions.

## Co-authors here

11 co-authors with a page, the most papers together first.

- [Cheng-Lin Liu](https://md.research.elamur.ai/free/en/authors/cheng-lin-liu/)
- [Dugang Liu](https://md.research.elamur.ai/free/en/authors/dugang-liu/)
- [Han Hu](https://md.research.elamur.ai/free/en/authors/han-hu/)
- [Hongzhu Yi](https://md.research.elamur.ai/free/en/authors/hongzhu-yi/)
- [Jian Xu](https://md.research.elamur.ai/free/en/authors/jian-xu/)
- [Kai Chen](https://md.research.elamur.ai/free/en/authors/kai-chen/)
- [Weizhen Qi](https://md.research.elamur.ai/free/en/authors/weizhen-qi/)
- [Xinming Wang](https://md.research.elamur.ai/free/en/authors/xinming-wang/)
- [Xu-Yao Zhang](https://md.research.elamur.ai/free/en/authors/xu-yao-zhang/)
- [yi Chen](https://md.research.elamur.ai/free/en/authors/yi-chen/)
- [Yingjian Zhu](https://md.research.elamur.ai/free/en/authors/yingjian-zhu/)

## 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 14 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/bin-yu/cited-by/).

Updated 1 November 2026
