🧑‍🔬 Zijun Liu

🏛️ Affiliations

🎓Tsinghua UniversityBeijing · China2023–2025 · 8 paperscurrent🎓Xi'an University of TechnologyXi'an · China2024–2025 · 4 paperscurrent🎓Shenzhen UniversityShenzhen · China2024–2025 · 2 paperscurrent🎓University of Science and Technology LiaoningAnshan · China2023–2025 · 2 paperscurrent🎓Beijing Institute of TechnologyBeijing · China2025 · 1 papercurrent🎓Boda College of Jilin Normal UniversitySiping · China2025 · 1 papercurrent🏢DeepSeekHangzhou · China2025 · 1 papercurrent🎓Guangzhou UniversityGuangzhou · China2025 · 1 papercurrent🎓Hebei Petroleum University of TechnologyChengde2025 · 1 papercurrent🏛️Chinese Academy of SciencesBeijing · China2018–2022 · 5 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Inference-Time Scaling for Generalist Reward Modeling (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…
2. Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages (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…
3. Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent Collaboration (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; 3 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 · no summary yetZijun Liu et al.2023 · 114 citations
2. Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning ↗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 yetZhiyuan Zeng et al.2021 · 85 citations
3. A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space ↗Proceedings of the 28th International Conference on Computational Linguistics · no summary yetHong Xu et al.2020 · 80 citations
4. Inference-Time Scaling for Generalist Reward ModelingarXiv:2504.02495Zijun Liu, Peiyi Wang, Runxin Xu, et al.2025 · 65 citations
5. Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich LanguagesAnnual Meeting of the Association for Computational Linguistics (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 CollaborationAnnual Meeting of the Association for Computational Linguistics (ACL)Zijun Liu, Zhennan Wan, Peng Li, et al.2026 · 1 citation

🤝 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

• Peng Li ×3
• Yang Liu ×3
• Chong Ruan
• Fei Huang
• Maosong Sun
• Ming Yan
• Peiyi Wang
• Runxin Xu
• Shirong Ma
• Shuo Wang
• Xiaolong Wang
• Yile 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) ×2: ACL 2026, 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); 62 citing papers with a page here →.

Updated 31 October 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/zijun-liu/