🧑‍🔬 Who cites James Caverlee

114 citations of their works from 113 papers of our library (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · ← James Caverlee

1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
2. InternLM2 Technical ReportarXiv:2403.17297Zheng Cai, Maosong Cao, Haojiong Chen, et al.2024 · 301 citations
3. DataComp-LM: In search of the next generation of training sets for language modelsConference on Neural Information Processing Systems (NeurIPS)Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 191 citations
4. RegMix: Data Mixture as Regression for Language Model Pre-trainingarXiv:2407.01492Qian Liu, Xiaosen Zheng, Niklas Muennighoff, et al.2024 · 57 citations
5. Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem SolvingarXiv:2405.12205Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, et al.2024 · 45 citations
6. A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super IntelligencearXiv:2507.21046Huan-ang Gao, Jiayi Geng, Wenyue Hua, et al.2025 · 36 citations
7. On the Diversity of Synthetic Data and its Impact on Training Large Language ModelsarXiv:2410.15226Hao Chen, Abdul Waheed, Xiang Li, et al.2024 · 35 citations
8. From Selection to Generation: A Survey of LLM-based Active LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, et al.2025 · 22 citations
9. MDCure: A Scalable Pipeline for Multi-Document Instruction-FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Gabrielle Kaili-May Liu, Bowen Shi, Avi Caciularu, et al.2025 · 11 citations
10. Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum LearningConference of the European Chapter of the Association for Computational Linguistics (EACL)Yang Zhang, Amr Mohamed, Hadi Abdine, et al.2026 · 7 citations
11. What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yaning Jia, Chunhui Zhang, Xingjian Diao, et al.2026 · 4 citations
12. Imbalanced Gradients in RL Post-Training of Multi-Task LLMsFindings of the Association for Computational LinguisticsRunzhe Wu, Ankur Samanta, Ayush Jain, et al.2026 · 3 citations
13. SCALER: Synthetic Scalable Adaptive Learning Environment for ReasoningFindings of the Association for Computational LinguisticsCaijun Xu, Changyi Xiao, Zhongyuan Peng, et al.2026 · 2 citations
14. Chart-RL: Generalized Chart Comprehension via Reinforcement Learning with Verifiable RewardsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraXin Zhang, Xingyu Li, Rongguang Wang, et al.2026 · 1 citation
15. DOSE: Data Selection for Multi-Modal LLMs via Off-the-Shelf ModelsFindings of the Association for Computational LinguisticsBiao Wu, Yiwu Zhong, Meng Fang, et al.2026
16. Enhancing Scholarly Knowledge Graphs via Domain-Specific Entity Detection and LinkingNatural Scientific Language Processing (NSLP) @ LRECNicolau Duran-Silva, César A. Parra-Rojas, Pablo Accuosto, et al.2026
17. From Semantics to Style: A Cross-Dataset Comparative Framework for Sentence Similarity PredictionsFindings of the Association for Computational LinguisticsYusuke Yamauchi, Akiko Aizawa2026
18. GALA: Geometric Data Selection with Strategic Prospecting for Large Language Model Self-trainingFindings of the Association for Computational LinguisticsZhongwei Xie, Ruihao Liao, Zimo Wang, et al.2026
19. 360Zhinao Technical ReportarXiv:2405.133862024

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