🧑‍🔬 Who cites Chao Gao

155 citations of their works from 155 papers of our library (of the 149,439 whose bibliographies we read) · 31 with a page here, the most cited first · ← Chao Gao

1. A Review of Large Language Models and Autonomous Agents in ChemistryarXiv:2407.01603Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White2024 · 288 citations
2. Evaluation of OpenAI o1: Opportunities and Challenges of AGIarXiv:2409.18486Tianyang Zhong, Zhengliang Liu, Yi Pan, et al.2024 · 64 citations
3. Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Qianchi Zhang, Hainan Zhang, Liang Pang, et al.2026 · 27 citations
4. Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zihan Wang, Deli Chen, Damai Dai, et al.2024 · 17 citations
5. LoRA-drop: Efficient LoRA Parameter Pruning based on Output EvaluationInternational Conference on Computational Linguistics (COLING)Hongyun Zhou, Xiangyu Lu, Wang Xu, et al.2025 · 12 citations
6. The Mirage of Model Editing: Revisiting Evaluation in the WildAnnual Meeting of the Association for Computational Linguistics (ACL)Wanli Yang, Fei Sun, Jiajun Tan, et al.2025 · 9 citations
7. Taxonomy Tree Generation from Citation GrapharXiv:2410.03761Yuntong Hu, Zhuofeng Li, Zheng Zhang, et al.2024 · 9 citations
8. Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal UncertaintyFindings of the Association for Computational LinguisticsChao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 8 citations
9. Model Unlearning via Sparse Autoencoder Subspace Guided ProjectionsConference on Empirical Methods in Natural Language Processing (EMNLP)Xu Wang, Zihao Li, Benyou Wang, et al.2025 · 8 citations
10. Fine-tuning Large Language Models with Limited Data: A Survey and Practical GuideTransactions of the Association for Computational Linguistics (TACL)Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, et al.2026 · 7 citations
11. Red Teaming Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiawei Chen, Yang Yang, Chao Yu, et al.2026 · 7 citations
12. GCoT-Decoding: Unlocking Deep Reasoning Paths for Universal Question AnsweringFindings of the Association for Computational LinguisticsGuanran Luo, Wentao Qiu, Zhongquan Jian, et al.2026 · 6 citations
13. Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 6 citations
14. ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token SelectionFindings of the Association for Computational LinguisticsTao Liu, Taiqiang Wu, Runming Yang, et al.2026 · 4 citations
15. GemmAr: Enhancing LLMs Through Arabic Instruction-TuningarXiv:2407.02147Hasna Chouikhi, Manel Aloui, Cyrine Ben Hammou, et al.2024 · 4 citations
16. Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Xi Xiao, Chenrui Ma, Yunbei Zhang, et al.2026 · 3 citations
17. K-Merge: Online Continual Merging of Adapters for On-device Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Donald Shenaj, Ondrej Bohdal, Taha Ceritli, et al.2026 · 2 citations
18. Team_Zero at StanceEval2024: Frozen PLMs for Arabic Stance DetectionArabic Natural Language Processing Conference (ArabicNLP)Omar Galal, Abdelrahman Kaseb2024 · 2 citations
19. Addressing the Ecological Fallacy in Larger LMs with Human ContextConference on Computational Natural Language Learning (CoNLL)Nikita Soni, Dhruv Vijay Kunjadiya, Pratham Piyush Shah, et al.2026 · 1 citation
20. From Weights to Activations: Is Steering the Next Frontier of Adaptation?Annual Meeting of the Association for Computational Linguistics (ACL)Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.2026 · 1 citation
21. MERLIN: Multi-Stage Curriculum Alignment for Multilingual Encoder-LLM Integration in Cross-Lingual ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Kosei Uemura, David Guzmán, Quang Phuoc Nguyen, et al.2026 · 1 citation
22. Jenin at AraGenEval Shared Task: Parameter-Efficient Fine-Tuning and Layer-Wise Analysis of Arabic LLMs for Authorship Style Transfer and ClassificationArabic Natural Language Processing Conference (ArabicNLP)Huthayfa Malhis, Mohammad Tami, Huthaifa I. Ashqar2025 · 1 citation
23. A Binary Problem in Binary QA: Diverse LLMs or Diverse Question Interpretations? That Is the Ensembling QuestionLanguage Resources and Evaluation Conference (LREC)Rafael Rosales, Santiago Miret2026
24. A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战)Acta Automatica Sinica (自动化学报)Anda Tang (唐岸达), Zhouchen Lin (林宙辰)2026
25. Do LLMs Capture Embodied Cognition and Cultural Variation? Cross-Linguistic Evidence from DemonstrativesAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Wang, Emmanuele Chersoni, Chu-Ren Huang2026
26. Learning to Control Summaries with Score RankingFindings of the Association for Computational LinguisticsHongye Liu, Liang Ding, Ricardo Henao2026
27. Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)YongKang Liu, Xingle Xu, Ercong Nie, et al.2026
28. On the Editability of Delta Parameters in Post-Trained ModelsFindings of the Association for Computational LinguisticsQiaoyu Tang, Le Yu, Bowen Yu, et al.2026
29. On the Representation Geometry of LoRA Model MergingFindings of the Association for Computational LinguisticsChenyang Lu, Jiaru Li, Jinman Zhao, et al.2026
30. RanLoRA: Residual-aware Nonlinear Low-Rank AdaptationFindings of the Association for Computational LinguisticsXu Luo, Yongbin Liu, Chunping Ouyang, et al.2026
31. WeightLoRA: Keep Only Necessary AdaptersAnnual Meeting of the Association for Computational Linguistics (ACL)Andrey Veprikov, Vladimir Solodkin, Zyl Alexander, et al.2026

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