---
title: "Jiaqing Liang — author profile and papers · Reasoning"
description: "Jiaqing Liang, Hebei University of Technology: 2 papers on Elamur Research (2026), h-index 16 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/jiaqing-liang/"
---
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# Jiaqing Liang

Jiaqing Liang has 2 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Fei Yu](https://md.research.elamur.ai/free/en/authors/fei-yu/), [Yanghua Xiao](https://md.research.elamur.ai/free/en/authors/yanghua-xiao/), [Jie Zeng](https://md.research.elamur.ai/free/en/authors/jie-zeng/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5075507821) · [ORCID](https://orcid.org/0000-0003-0670-5602) · [Wikidata](https://www.wikidata.org/wiki/Q130800047) · [**h-index 16**](https://openalex.org/authors/A5075507821) · [142 works](https://openalex.org/works?filter=author.id:A5075507821) · [1,002 citations](https://openalex.org/works?filter=author.id:A5075507821&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jiaqing-liang/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/jiaqing-liang/cited-by/) · [⭐ Paper Stars ranking: #12232](https://md.research.elamur.ai/free/en/paper-stars/page/123/#star-12232)

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

## Affiliations

[🎓**Fudan University** Shanghai · China 2016–2026 · 119 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**Hebei University of Technology** Tianjin · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/hebei-university-of-technology/) · [🏢**Ant Group** Hangzhou · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/companies/ant-group/) · [🎓**Jinzhou Medical University** Jinzhou · China 2023 · 2 papers](https://ror.org/02yd1yr68)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 4 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/)

🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jiaqing-liang/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Instructions are all you need: Self-supervised Reinforcement Learning for Instruction Following](https://md.research.elamur.ai/free/en/papers/ren-2026-instructions-are-all-you-need/)** *(2026 · 3 citations)* Language models often fail to satisfy instructions that contain several constraints at once. Existing RL methods for this problem depend on stronger models or human annotators for rewards, and multi-constraint tasks give sparse rewards. The authors propose a self-supervised RL framework in which reward signals come…
2. **[Don't Tell the Answer, Truly Guide the Reasoning During RL Rollouts](https://md.research.elamur.ai/free/en/papers/wang-2026-don-t-tell-answer-truly/)** *(2026)* GRPO-style reinforcement learning struggles when a problem exceeds what the model can currently solve. Every rollout fails, group advantages become zero, and the gradient disappears. Earlier fixes inject reference solutions, either whole or partial ("Answer-Hints"). The authors argue these fixes often clash with the…

## Co-authors here

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

- [Fei Yu](https://md.research.elamur.ai/free/en/authors/fei-yu/) ×2
- [Yanghua Xiao](https://md.research.elamur.ai/free/en/authors/yanghua-xiao/) ×2
- [Jie Zeng](https://md.research.elamur.ai/free/en/authors/jie-zeng/)
- [Qianyu He](https://md.research.elamur.ai/free/en/authors/qianyu-he/)
- [Qingyu Ren](https://md.research.elamur.ai/free/en/authors/qingyu-ren/)
- [Sihang Jiang](https://md.research.elamur.ai/free/en/authors/sihang-jiang/)
- [Xinyi Wang](https://md.research.elamur.ai/free/en/authors/xinyi-wang/)

## 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 3 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiaqing-liang/cited-by/).

Updated 1 November 2026
