From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 37 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 6Arts and Humanities · 8 works Computer Science · 8 works Artificial Intelligence · 8 works Language and Linguistics · 8 works Computer Vision and Pattern Recognition · 4 works Philosophy · 1 work

🧭 Topics 7Language models & pretraining · 4 works Multilingual & cross-lingual NLP · 3 works Reasoning · 1 work Interpretability · 1 work Efficient models & compression · 1 work Vision & language · 1 work Dialogue systems · 1 work

Works by year

2020s

20264 papers 20254 papers

Papers

The most cited first (OpenAlex and our library).

Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models (2025 · 31 citations)
Multilingual language models often answer a factual question correctly in one language but wrongly when the same question is posed in another.
Language Mixing in Reasoning Language Models: Patterns, Impact, and Internal Causes (2025 · 16 citations)
Reasoning language models (RLMs) such as DeepSeek-R1 sometimes switch into other languages within their chain of thought.
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning (2025 · 12 citations)
Knowledge editing (KE) updates facts stored in large language models without retraining. Most gradient-free work is monolingual, and it is unclear whether an edit made in English carries over to questions asked in other languages. The authors build BMIKE-53, a benchmark for cross-lingual in-context knowledge editing…
How Transliterations Improve Crosslingual Alignment (2025 · 12 citations)
Multilingual pretrained language models (mPLMs) transfer knowledge less effectively between languages written in different scripts.
Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models (2026 · 9 citations)
Most earlier reviews of mechanistic interpretability (MI) in LLMs describe what researchers have discovered inside models.
Through a Compressed Lens: Investigating The Impact of Quantization on Factual Knowledge Recall (2026 · 2 citations)
The paper asks how post-training weight quantization affects factual knowledge recall (FKR), meaning an LLM's ability to retrieve facts stored during pretraining.
PlaM: Training-Free Plateau-Guided Model Merging for Better Visual Grounding in MLLMs (2026 · 1 citation)
Multimodal instruction fine-tuning tends to weaken the text reasoning that MLLMs inherit from their base language models.
SAD: A Large-Scale Strategic Argumentative Dialogue Dataset (2026)
Most argument-generation corpora treat argumentation as a one-shot task: produce an argument for a topic or rebut a single claim.

All works

9 works of theirs in our library, the most cited first; 8 with a page here, the others link their original until we summarise them.

Asymmetric hydrogenation of ketimines with minimally different alkyl groups ↗Nature · no summary yetMingyang Wang et al.2024 · 110 citations
Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyang Wang, Heike Adel, Lukas Lange, et al.2025 · 31 citations
Language Mixing in Reasoning Language Models: Patterns, Impact, and Internal CausesConference on Empirical Methods in Natural Language Processing (EMNLP)Mingyang Wang, Lukas Lange, Heike Adel, et al.2025 · 16 citations
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Ercong Nie, Bo Shao, Mingyang Wang, et al.2025 · 12 citations
How Transliterations Improve Crosslingual AlignmentInternational Conference on Computational Linguistics (COLING)Yihong Liu, Mingyang Wang, Amir Hossein Kargaran, et al.2025 · 12 citations
Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language ModelsFindings of the Association for Computational LinguisticsHengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.2026 · 9 citations
Through a Compressed Lens: Investigating The Impact of Quantization on Factual Knowledge RecallWorkshop on Trustworthy NLPQianli Wang, Mingyang Wang, Nils Feldhus, et al.2026 · 2 citations
PlaM: Training-Free Plateau-Guided Model Merging for Better Visual Grounding in MLLMsFindings of the Association for Computational LinguisticsZijing Wang, YongKang Liu, Mingyang Wang, et al.2026 · 1 citation
SAD: A Large-Scale Strategic Argumentative Dialogue DatasetAnnual Meeting of the Association for Computational Linguistics (ACL)YongKang Liu, Jiayang Yu, Mingyang Wang, et al.2026

Co-authors here

12 of 36 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Cited by

Papers of our library cite their works 77 times (of the 149,439 papers whose bibliographies we read); 22 citing papers with a page here →.

Updated 1 November 2026

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🧑‍🔬 Mingyang Wang

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

All works

🤝 Co-authors here

Venues

🔗 Cited by

Mingyang Wang

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by