🔗 Who cites «SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models»

29 papers of our library cite it (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · ← back to «SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models»

1. ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree SearchConference on Neural Information Processing Systems (NeurIPS)Dan Zhang, Sining Zhoubian, Ziniu Hu, et al.2024 · 200 citations
2. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and TrustworthinessACM Transactions on Intelligent Systems and TechnologyFali Wang, Zhiwei Zhang, Xianren Zhang, et al.2024 · 159 citations
3. Scientific Large Language Models: A Survey on Biological & Chemical DomainsACM Computing SurveysQiang Zhang, Keyang Ding, Tianwen Lyv, et al.2024 · 154 citations
4. SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language ModelsarXiv:2307.10635Xiaoxuan Wang, Ziniu Hu, Pan Lu, et al.2023 · 149 citations
5. AutoRE: Document-Level Relation Extraction with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lilong Xue, Dan Zhang, Yuxiao Dong, et al.2024 · 79 citations
6. OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMsarXiv:2411.14199Akari Asai, Jacqueline He, Rulin Shao, et al.2024 · 62 citations
7. SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language ModelsarXiv:2406.09098Kehua Feng, Xinyi Shen, Weijie Wang, et al.2024 · 36 citations
8. SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific LiteratureConference on Empirical Methods in Natural Language Processing (EMNLP)David Wadden, Kejian Shi, Jacob Morrison, et al.2025 · 27 citations
9. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
10. From AI for Science to Agentic Science: A Survey on Autonomous Scientific DiscoveryarXiv:2508.14111Jiaqi Wei, Yuejin Yang, Xiang Zhang, et al.2025 · 19 citations
11. A Survey of Post-Training Scaling in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hanyu Lai, Xiao Liu, Junjie Gao, et al.2025 · 18 citations
12. TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge DistillationarXiv:2503.04872Lin Sun, Guangxiang Zhao, Xiaoqi Jian, et al.2025 · 7 citations
13. RedOne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking ServicesAnnual Meeting of the Association for Computational Linguistics (ACL)Fei zhao, Chonggang Lu, Haofu Qian, et al.2026 · 2 citations
14. Datasets for Scientific Literature Understanding: A SurveyFindings of the Association for Computational LinguisticsYuanzhe Zhang, Xun Zhao, Maodi Hu, et al.2026

15 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/zhang-2024-sciinstruct-self-reflective-instruction-annotated/cited-by/