🧑‍🔬 Who cites Andrew Gordon Wilson

325 citations of their works from 308 papers of our library (of the 149,439 whose bibliographies we read) · 36 with a page here, the most cited first · ← Andrew Gordon Wilson

1. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
2. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timearXiv:2203.05482Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 507 citations
3. Editing Models with Task ArithmeticarXiv:2212.04089Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.2022 · 402 citations
4. TIES-Merging: Resolving Interference When Merging ModelsConference on Neural Information Processing Systems (NeurIPS)Prateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 324 citations
5. MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing BenchmarkConference of the European Chapter of the Association for Computational Linguistics (EACL)Haoran Li, Abhinav Arora, Shuohui Chen, et al.2021 · 242 citations
6. Visualizing and Understanding the Effectiveness of BERTConference on Empirical Methods in Natural Language Processing (EMNLP)Yaru Hao, Li Dong, Furu Wei, et al.2019 · 222 citations
7. Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionarXiv:2312.09390Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al.2023 · 172 citations
8. AdaMix: Mixture-of-Adaptations for Parameter-efficient Model TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, et al.2022 · 135 citations
9. Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language ModelsarXiv:2208.03306Margaret Li, Suchin Gururangan, Tim Dettmers, et al.2022 · 114 citations
10. Arcee's MergeKit: A Toolkit for Merging Large Language ModelsarXiv:2403.13257Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, et al.2024 · 105 citations
11. Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex WordsValentin, Hofmann2021 · 102 citations
12. Dataless Knowledge Fusion by Merging Weights of Language ModelsarXiv:2212.09849Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, et al.2022 · 101 citations
13. Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewardsConference on Neural Information Processing Systems (NeurIPS)Alexandre Rame, Guillaume Couairon, Mustafa Shukor, et al.2023 · 90 citations
14. Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and OpportunitiesarXiv:2408.07666Enneng Yang, Li Shen, Guibing Guo, et al.2024 · 79 citations
15. Time-LLM: Time Series Forecasting by Reprogramming Large Language ModelsarXiv:2310.01728Ming Jin, Shiyu Wang, Lintao Ma, et al.2023 · 77 citations
16. Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task ArithmeticAnnual Meeting of the Association for Computational Linguistics (ACL)Rishabh Bhardwaj, Duc Anh Do, Soujanya Poria2024 · 59 citations
17. Gemini Embedding: Generalizable Embeddings from GeminiarXiv:2503.07891Jinhyuk Lee, Feiyang Chen, Sahil Dua, et al.2025 · 45 citations
18. Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language ModelsarXiv:2305.09955Shangbin Feng, Weijia Shi, Yuyang Bai, et al.2023 · 35 citations
19. Neural Lattice Language ModelsTransactions of the Association for Computational Linguistics (TACL)Jacob Buckman, Graham Neubig2018 · 35 citations
20. Scaling Laws and Compute-Optimal Training Beyond Fixed Training DurationsConference on Neural Information Processing Systems (NeurIPS)Alexander Hägele, Elie Bakouch, Atli Kosson, et al.2024 · 31 citations
21. Detecting Suicidality in Arabic Tweets Using Machine Learning and Deep Learning TechniquesArabian Journal for Science and EngineeringAsma Abdulsalam, Areej Alhothali, Saleh Al-Ghamdi2023 · 29 citations
22. SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity RecognitionConference on Empirical Methods in Natural Language Processing (EMNLP)Zechen Li, Shohreh Deldari, Linyao Chen, et al.2025 · 27 citations
23. Tx-LLM: A Large Language Model for TherapeuticsarXiv:2406.06316Juan Manuel Zambrano Chaves, Eric Wang, Tao Tu, et al.2024 · 23 citations
24. TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge DistillationarXiv:2503.04872Lin Sun, Guangxiang Zhao, Xiaoqi Jian, et al.2025 · 7 citations
25. Uncertainty-Aware Natural Language Inference with Stochastic Weight AveragingNordic Conference on Computational Linguistics (NoDaLiDa)Aarne Talman, Hande Celikkanat, Sami Virpioja, et al.2023 · 6 citations
26. AlexU-AIC at WojoodNER shared task: Sequence Labeling vs MRC and SWA for Arabic Named Entity RecognitionArabic Natural Language Processing Conference (ArabicNLP)Shereen Elkordi, Noha Adly, Marwan Torki2023 · 5 citations
27. English Out-of-Vocabulary Lexical Evaluation TaskarXiv:1804.04242Han Wang, Ye Wang, Xinxiang Zhang, et al.2018 · 3 citations
28. Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language DataConference of the European Chapter of the Association for Computational Linguistics (EACL)Paul Quinlan, Qingguo Li, Xiaodan Zhu2026 · 1 citation
29. 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
30. Enhancing Zero-Shot Time Series Forecasting in Off-the-Shelf LLMs via Noise Injection PromptingFindings of the Association for Computational LinguisticsXingyou Yin, Ceyao Zhang, Min Hu, et al.2026
31. GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiwen Ruan, Yichao Du, Jianjie Zheng, et al.2026
32. LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenxuan Xu, Arvind Pillai, Subigya Nepal, et al.2026
33. ODTQA-FoRe: An Open-Domain Tabular Question Answering Dataset for Future Data Forecasting and ReasoningFindings of the Association for Computational LinguisticsZhensheng Wang, Xiaole Liu, Wenmian Yang, et al.2026
34. 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
35. Text-to-Distribution Prediction with Quantile Tokens and Neighbor ContextAnnual Meeting of the Association for Computational Linguistics (ACL)Yilun Zhu, Yuan Zhuang, Nikhita Vedula, et al.2026
36. TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series ForecastingAnnual Meeting of the Association for Computational Linguistics (ACL)Fan Zhang, Shiming Fan, Hua Wang2026

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