🧑‍🔬 Who cites Pengxiang Cheng

120 citations of their works from 120 papers of our library (of the 149,439 whose bibliographies we read) · 22 with a page here, the most cited first · ← Pengxiang Cheng

1. BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsFindings of the Association for Computational LinguisticsYanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.2024 · 409 citations
2. TIES-Merging: Resolving Interference When Merging ModelsConference on Neural Information Processing Systems (NeurIPS)Prateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 324 citations
3. Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LuncharXiv:2311.03099Le Yu, Bowen Yu, Haiyang Yu, et al.2023 · 217 citations
4. End-to-End Differentiable ProvingarXiv:1705.11040Tim Rocktäschel, Sebastian Riedel2017 · 188 citations
5. LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA CompositionarXiv:2307.13269Chengsong Huang, Qian Liu, Bill Yuchen Lin, et al.2023 · 108 citations
6. Arcee's MergeKit: A Toolkit for Merging Large Language ModelsarXiv:2403.13257Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, et al.2024 · 105 citations
7. LLMs Are Few-Shot In-Context Low-Resource Language LearnersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Samuel Cahyawijaya, Holy Lovenia, Pascale Fung2024 · 93 citations
8. Knowledge Fusion of Large Language ModelsarXiv:2401.10491Fanqi Wan, Xinting Huang, Deng Cai, et al.2024 · 82 citations
9. Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and OpportunitiesarXiv:2408.07666Enneng Yang, Li Shen, Guibing Guo, et al.2024 · 79 citations
10. AdaMerging: Adaptive Model Merging for Multi-Task LearningarXiv:2310.02575Enneng Yang, Zhenyi Wang, Li Shen, et al.2023 · 59 citations
11. On-demand Injection of Lexical Knowledge for Recognising Textual EntailmentConference of the European Chapter of the Association for Computational Linguistics (EACL)Pascual Martínez-Gómez, Koji Mineshima, Yusuke Miyao, et al.2017 · 52 citations
12. Personalized Pieces: Efficient Personalized Large Language Models through Collaborative EffortsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhaoxuan Tan, Zheyuan Liu, Meng Jiang2024 · 40 citations
13. FuseChat: Knowledge Fusion of Chat ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Fanqi Wan, Longguang Zhong, Ziyi Yang, et al.2025 · 25 citations
14. Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy DetectionarXiv:2405.02318Abhinav Lalwani, Tasha Kim, Lovish Chopra, et al.2024 · 15 citations
15. CUTE: A Multilingual Dataset for Enhancing Cross-Lingual Knowledge Transfer in Low-Resource LanguagesInternational Conference on Computational Linguistics (COLING)Wenhao Zhuang, Yuan Sun2025 · 7 citations
16. LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-DisjointAnnual Meeting of the Association for Computational Linguistics (ACL)Qianli Ma, Dongrui Liu, Qian Chen, et al.2025 · 5 citations
17. Why Do More Experts Fail? A Theoretical Analysis of Model MergingAnnual Meeting of the Association for Computational Linguistics (ACL)Zijing Wang, Xingle Xu, YongKang Liu, et al.2026 · 2 citations
18. H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Selim Furkan Tekin, Fatih Ilhan, Sihao Hu, et al.2026 · 1 citation
19. DivMerge: A divergence-based model merging method for multi-taskingConference of the European Chapter of the Association for Computational Linguistics (EACL)Brahim Touayouch, Loïc Fosse, Géraldine Damnati, et al.2026
20. Investigating Cross-Modal Skill Injection: Scenarios, Methods, and HyperparametersAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyu Xu, Lean Wang, Yuanxin Liu, et al.2026
21. On the Representation Geometry of LoRA Model MergingFindings of the Association for Computational LinguisticsChenyang Lu, Jiaru Li, Jinman Zhao, et al.2026
22. ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model MergingAnnual Meeting of the Association for Computational Linguistics (ACL)Junyao Yang, Chen Qian, Wen Shen, et al.2026

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