SciProdLLM 2025

The 1st Workshop on Human–LLM Collaboration for Ethical and Responsible Science Production December 2025, co-located at IJCNLP–AACL 2025

Reference Papers

  1. Jonas Belouadi, Anne Lauscher, and Steffen Eger. Automatikz: Text-Guided Synthesis of Scientific Vector Graphics with Tikz. In ICLR 2024.
  2. Miaosen Chai, Emily Herron, Erick Cervantes, and Tirthankar Ghosal. Exploring Scientific Hypothesis Generation with Mamba. In NLP4Science 2024
  3. Ziru Chen, Shijie Chen, Yuting Ning, Qianheng Zhang, Boshi Wang, Botao Yu, Yifei Li, Zeyi Liao, Chen Wei, Zitong Lu, et al. ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery. arXiv preprint arXiv:2410.05080.
  4. Steffen Eger, Yong Cao, Jennifer D’Souza, Andreas Geiger, Christian Greisinger, Stephanie Gross, Yufang Hou, Brigitte Krenn, Anne Lauscher, Yizhi Li, Chenghua Lin, Nafise Sadat Moosavi, Wei Zhao, and Tristan Miller. Transforming Science with Large Language Models: A Survey on AI-Assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation. arXiv preprint arXiv:2502.05151
  5. Weixin Liang, Yaohui Zhang, Zhengxuan Wu, Haley Lepp, Wenlong Ji, Xuandong Zhao, Hancheng Cao, Sheng Liu, Siyu He, Zhi Huang, et al. Mapping the Increasing Use of LLMs in Scientific Papers. arXiv preprint arXiv:2404.01268.
  6. Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob Foerster, Jeff Clune, and David Ha. The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery. arXiv preprint arXiv:2408.06292.
  7. Juraj Gottweis, Wei-Hung Weng, Alexander Daryin, Tao Tu, Anil Palepu, Petar Sirkovic, Artiom Myaskovsky, Felix Weissenberger, Keran Rong, Ryutaro Tanno, et al. Towards an AI Co-Scientist. arXiv preprint arXiv:2502.18864.
  8. Lu Sun, Aaron Chan, Yun Seo Chang, and Steven P Dow. ReviewFlow: Intelligent Scaffolding to Support Academic Peer Reviewing. In Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024.
  9. Marissa Radensky, Simra Shahid, Raymond Fok, Pao Siangliulue, Tom Hope, and Daniel S. Weld. Scideator: Human–LLM Scientific Idea Generation Grounded in Research-Paper Facet Recombination. arXiv preprint arXiv:2409.14634.