---
title: "Haoran Ye · Peking University — author profile and papers"
description: "Haoran Ye, Peking University: 2 papers on Elamur Research (2024–2026), h-index 0 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/haoran-ye/"
---
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# Haoran Ye

Haoran Ye 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/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Guojie Song](https://md.research.elamur.ai/free/en/authors/guojie-song/), [Haonan Dong](https://md.research.elamur.ai/free/en/authors/haonan-dong/), [Kehan Jiang](https://md.research.elamur.ai/free/en/authors/kehan-jiang/).

2 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5139814598) · [**h-index 0**](https://openalex.org/authors/A5139814598) · [1 works](https://openalex.org/works?filter=author.id:A5139814598) · [0 citations](https://openalex.org/works?filter=author.id:A5139814598&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/haoran-ye/#papers) · [🔗 Cited 43 times in our library](https://md.research.elamur.ai/free/en/authors/haoran-ye/cited-by/) · [⭐ Paper Stars ranking: #8883](https://md.research.elamur.ai/free/en/paper-stars/page/89/#star-8883)

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

## Affiliations

[🎓**Peking University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/peking-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 8 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/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 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/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/haoran-ye/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/haoran-ye/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models](https://md.research.elamur.ai/free/en/papers/ren-2024-valuebench-comprehensively-evaluating-value-orientations/)** *(2024 · 43 citations)* LLMs increasingly act as stand-ins for people in education, healthcare and other public-facing settings, so it matters which values they express and how well they grasp human values.
2. **[NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons](https://md.research.elamur.ai/free/en/papers/dong-2026-neureasoner-explainable-controllable-unified-reasoning/)** *(2026 · 13 citations)* Large Reasoning Models still make three kinds of mistakes. Within a step, they get calculations or derivations wrong. Across steps, they loop or stall. At the instance level, they over-think easy questions. Earlier fixes target only one of these, rely on opaque RL training, and offer little insight or control.

## Co-authors here

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

- [Guojie Song](https://md.research.elamur.ai/free/en/authors/guojie-song/) ×2
- [Haonan Dong](https://md.research.elamur.ai/free/en/authors/haonan-dong/)
- [Kehan Jiang](https://md.research.elamur.ai/free/en/authors/kehan-jiang/)
- [Wenhao Zhu](https://md.research.elamur.ai/free/en/authors/wenhao-zhu/)
- [Xin Zhang](https://md.research.elamur.ai/free/en/authors/xin-zhang/)
- [Yuanyi Ren](https://md.research.elamur.ai/free/en/authors/yuanyi-ren/)
- [Zhaolu Kang](https://md.research.elamur.ai/free/en/authors/zhaolu-kang/)

## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/)

## Cited by

Papers of our library cite their works 43 times (of the 149,439 papers whose bibliographies we read); [17 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haoran-ye/cited-by/).

Updated 31 October 2026
