---
title: "Zijun Liu — author profile and papers — Elamur Research"
description: "Zijun Liu, University of Science and Technology Liaoning: 4 papers on Elamur Research (2023–2026), h-index 16 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/zijun-liu/"
---
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# Zijun Liu

Zijun Liu has 4 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Peng Li](https://md.research.elamur.ai/free/en/authors/peng-li/), [Yang Liu](https://md.research.elamur.ai/free/en/authors/yang-liu/), [Chong Ruan](https://md.research.elamur.ai/free/en/authors/chong-ruan/).

4 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5100725217) · [ORCID](https://orcid.org/0000-0001-9677-0090) · [**h-index 16**](https://openalex.org/authors/A5100725217) · [71 works](https://openalex.org/works?filter=author.id:A5100725217) · [2,273 citations](https://openalex.org/works?filter=author.id:A5100725217&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/zijun-liu/#papers) · [🔗 Cited 243 times in our library](https://md.research.elamur.ai/free/en/authors/zijun-liu/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6351](https://md.research.elamur.ai/free/en/paper-stars/page/64/#star-6351)

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

## Affiliations

[🎓**Tsinghua University** Beijing · China 2023–2025 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Xi'an University of Technology** Xi'an · China 2024–2025 · 4 papers*current*](https://ror.org/038avdt50) · [🎓**Shenzhen University** Shenzhen · China 2024–2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/shenzhen-university/) · [🎓**University of Science and Technology Liaoning** Anshan · China 2023–2025 · 2 papers*current*](https://ror.org/03grx7119) · [🎓**Beijing Institute of Technology** Beijing · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🎓**Boda College of Jilin Normal University** Siping · China 2025 · 1 paper*current*](https://ror.org/03tcdzh13) · [🏢**DeepSeek** Hangzhou · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/deepseek/) · [🎓**Guangzhou University** Guangzhou · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/guangzhou-university/) · [🎓**Hebei Petroleum University of Technology** Chengde 2025 · 1 paper*current*](https://ror.org/02t67p115) · [🏛️**Chinese Academy of Sciences** Beijing · China 2018–2022 · 5 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 14 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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 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/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/zijun-liu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zijun-liu/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/zijun-liu/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/zijun-liu/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration](https://md.research.elamur.ai/free/en/papers/liu-2023-dynamic-llm-powered-agent-network/)** *(2023 · 114 citations)* Multi-agent systems built on large language models usually rely on a fixed set of agents and a communication pattern that is designed in advance.
2. **[Inference-Time Scaling for Generalist Reward Modeling](https://md.research.elamur.ai/free/en/papers/liu-2025-inference-time-scaling-generalist/)** *(2025 · 65 citations)* Reinforcement learning for LLMs depends on reliable reward signals. Outside verifiable areas like math or code, these are hard to obtain because the criteria vary and no ground truth exists. The authors ask whether a reward model (RM) can be trained so that giving it more inference compute yields better rewards on…
3. **[Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages](https://md.research.elamur.ai/free/en/papers/zhang-2024-enhancing-multilingual-capabilities-large-language/)** *(2024 · 30 citations)* LLMs trained mostly on English handle most other languages much worse. The usual remedy is to machine-translate instruction data into the target language and fine-tune on it. The authors argue this approach has three weaknesses: it ignores what the model already does well in its strongest language, it inherits…
4. **[Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent Collaboration](https://md.research.elamur.ai/free/en/papers/liu-2026-scaling-external-knowledge-input-beyond/)** *(2026 · 1 citation)* Large language models can use more retrieved evidence to solve harder tasks, but their context window caps how much they can take in.

## All works

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. [**A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration arXiv:2310.02170**Zijun Liu, Yanzhe Zhang, Peng Li, et al.*2023 · 114 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-dynamic-llm-powered-agent-network/)
2. **[Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning ↗](https://aclanthology.org/2021.acl-short.110/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) · no summary yet**Zhiyuan Zeng et al.*2021 · 85 citations*
3. **[A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space ↗](https://aclanthology.org/2020.coling-main.125/) Proceedings of the 28th International Conference on Computational Linguistics · no summary yet**Hong Xu et al.*2020 · 80 citations*
4. [**Inference-Time Scaling for Generalist Reward Modeling arXiv:2504.02495**Zijun Liu, Peiyi Wang, Runxin Xu, et al.*2025 · 65 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-inference-time-scaling-generalist/)
5. **[Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages](https://md.research.elamur.ai/free/en/papers/zhang-2024-enhancing-multilingual-capabilities-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanchi Zhang, Yile Wang, Zijun Liu, et al.*2024 · 30 citations*
6. **[Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent Collaboration](https://md.research.elamur.ai/free/en/papers/liu-2026-scaling-external-knowledge-input-beyond/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zijun Liu, Zhennan Wan, Peng Li, et al.*2026 · 1 citation*

## Co-authors here

12 of 15 co-authors with a page, the most papers together first.

- [Peng Li](https://md.research.elamur.ai/free/en/authors/peng-li/) ×4
- [Yang Liu](https://md.research.elamur.ai/free/en/authors/yang-liu/) ×4
- [Chong Ruan](https://md.research.elamur.ai/free/en/authors/chong-ruan/)
- [Diyi Yang](https://md.research.elamur.ai/free/en/authors/diyi-yang/)
- [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/)
- [Maosong Sun](https://md.research.elamur.ai/free/en/authors/maosong-sun/)
- [Ming Yan](https://md.research.elamur.ai/free/en/authors/ming-yan/)
- [Peiyi Wang](https://md.research.elamur.ai/free/en/authors/peiyi-wang/)
- [Runxin Xu](https://md.research.elamur.ai/free/en/authors/runxin-xu/)
- [Shirong Ma](https://md.research.elamur.ai/free/en/authors/shirong-ma/)
- [Shuo Wang](https://md.research.elamur.ai/free/en/authors/shuo-wang/)
- [Xiaolong Wang](https://md.research.elamur.ai/free/en/authors/xiaolong-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/) ×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/)
- Proceedings of the 28th International Conference on Computational Linguistics
- Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

## Cited by

Papers of our library cite their works 243 times (of the 149,439 papers whose bibliographies we read); [79 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zijun-liu/cited-by/).

Updated 2 November 2026
