🧑‍🔬 Yunlong Liang

🏛️ Affiliations

🏢TencentShenzhen · China2023–2026 · 12 paperscurrent🎓Beijing Jiaotong UniversityBeijing · China2022–2024 · 16 papers🎓Fudan UniversityShanghai · China2023–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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. Is ChatGPT a Good NLG Evaluator? A Preliminary Study (2023 · 287 citations)
   Automatic metrics for natural language generation (NLG) often agree poorly with human judgments. This paper asks whether ChatGPT can do better if it is used as the judge. The authors treat ChatGPT as a stand-in for a human annotator. Each prompt names the task being judged (for example, news summarization) and the…
2. Cross-Lingual Knowledge Editing in Large Language Models (2024 · 45 citations)
   Most knowledge editing research updates and tests a model in a single language, so it is unclear whether a fact edited in one language carries over to another in a multilingual LLM.
3. Multilingual Knowledge Editing with Language-Agnostic Factual Neurons (2025 · 17 citations)
   The paper tackles multilingual knowledge editing (MKE), which means changing a fact in an LLM so the correction holds in several languages at once.
4. Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts (2025 · 13 citations)
   Adding new languages to an existing LLM risks erasing skills in the languages it already handles well. The earlier MoE-based approach, MoE-LPR, also inflates model size: Qwen1.5-1.8B grows 3.2× to support three extra languages. This paper introduces LayerMoE, which questions whether every layer needs the same number…
5. Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement Learning (2026 · 11 citations)
   Reasoning-oriented LLMs that think before answering often handle non-English prompts poorly. They tend to drift into English or a mix of languages during reasoning, and their accuracy drops compared with English. The authors introduce M-Thinker, a family of models (1.5B, 4B, 7B) trained with GRPO using two new reward…

All works

10 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. Is ChatGPT a Good NLG Evaluator? A Preliminary StudyarXiv:2303.04048Jiaan Wang, Yunlong Liang, Fandong Meng, et al.2023 · 287 citations
2. Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetYunlong Liang et al.2021 · 82 citations
3. A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetYunlong Liang et al.2019 · 65 citations
4. Cross-Lingual Knowledge Editing in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaan Wang, Yunlong Liang, Zengkui Sun, et al.2024 · 45 citations
5. DRT: Deep Reasoning Translation via Long Chain-of-Thought ↗Findings of the Association for Computational Linguistics: ACL 2025 · no summary yetJiaan Wang et al.2025 · 28 citations
6. Multilingual Knowledge Editing with Language-Agnostic Factual NeuronsInternational Conference on Computational Linguistics (COLING)Xue Zhang, Yunlong Liang, Fandong Meng, et al.2025 · 17 citations
7. Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Zhang, Yunlong Liang, Fandong Meng, et al.2025 · 13 citations
8. Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Zhang, Yunlong Liang, Fandong Meng, et al.2026 · 11 citations
9. SlangDIT: Benchmarking LLMs in Interpretative Slang Translation ↗arXiv:2505.14181 · no summary yetYunlong Liang et al.2025 · 4 citations
10. A Quality-based Syntactic Template Retriever for Syntactically-Controlled Paraphrase Generation ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetXue Zhang et al.2023

🤝 Co-authors here

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

• Fandong Meng ×5
• Jie Zhou ×4
• Jinan Xu ×3
• Songming Zhang ×3
• Xue Zhang ×3
• Yufeng Chen ×3
• Jiaan Wang ×2
• Zengkui Sun ×2
• Jianfeng Qu
• Kaiyu Huang
• Xu Jinan
• Yuxuan Cao

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) ×3: ACL 2026, ACL 2025, ACL 2024
• International Conference on Computational Linguistics (COLING): COLING 2025
• Findings of the Association for Computational Linguistics: ACL 2025
• Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• Proceedings of the AAAI Conference on Artificial Intelligence

🔗 Cited by

Papers of our library cite their works 416 times (of the 149,439 papers whose bibliographies we read); 90 citing papers with a page here →.

Updated 30 October 2026

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