Xue Zhang
Xue Zhang has 5 papers in our library, in 2024–2026, most of them on Multilingual & cross-lingual NLP, Language models & pretraining, Reasoning; often with Yufeng Chen, Songming Zhang, Fandong Meng.
OpenAlex · ORCID · h-index 15 · 136 works · 921 citations OpenAlex, 2026-10-14
📄 5 works in our library · 🔗 Cited 76 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7056
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksComputer Science · 5 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 5 worksComputer Vision and Pattern Recognition · 3 worksInformation Systems · 1 work
🧭 Topics 5Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 4 worksLanguage models & pretraining · 2 worksEfficient models & compression · 1 workReasoning · 1 workInformation retrieval & search · 1 work
Works by year
2020s
Papers
- Dual-Space Knowledge Distillation for Large Language Models (2024 · 39 citations)
Standard white-box knowledge distillation for LLMs trains a small student to match the teacher's token-level output distributions. - 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. - 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… - 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… - Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented Generation (2026 · 5 citations)
The paper addresses two problems in multilingual retrieval-augmented generation (MRAG). The first is knowledge bias: an LLM answers the same question differently depending on its language. The second is knowledge conflict: passages retrieved from collections in many languages contradict each other. The authors…
All works
- Dual-Space Knowledge Distillation for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Songming Zhang, Xue Zhang, Zengkui Sun, et al.2024 · 39 citations
- Multilingual Knowledge Editing with Language-Agnostic Factual NeuronsInternational Conference on Computational Linguistics (COLING)Xue Zhang, Yunlong Liang, Fandong Meng, et al.2025 · 17 citations
- 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
- 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
- Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsRui Qi, Fengran Mo, Yufeng Chen, et al.2026 · 5 citations
- 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
- Yufeng Chen ×5
- Songming Zhang ×4
- Fandong Meng ×3
- Jie Zhou ×3
- Jinan Xu ×3
- Yunlong Liang ×3
- Kaiyu Huang ×2
- Xu Jinan ×2
- Fengran Mo
- Jian-Yun Nie
- Meng Jiang
- Shuo Wang
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026, ACL 2025
- Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2: EMNLP 2024
- International Conference on Computational Linguistics (COLING): COLING 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
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