Once added, publications will be organized here by specific topic
Generation
Skarlinski, Michael D.; Cox, Sam; Laurent, Jon M.; Braza, James D.; Hinks, Michaela; Hammerling, Michael J.; Ponnapati, Manvitha; Rodriques, Samuel G.; White, Andrew D. (2024), Language Agents Achieve Superhuman Synthesis of Scientific Knowledge, San Francisco, CA: FutureHouse
Shao, Yijia; Jiang, Yucheng; Kanell, Theodore A.; Xu, Peter; Khattab, Omar; Lam, Monica S. (2024). "Assisting in Writing Wikipedia-like Articles from Scratch with Large Language Models". arXiv:2402.14207 [cs.CL].
Mille, Simon; Pronesti, Massimiliano; Thomson, Craig; Lorandi, Michela; Fitzpatrick, Sophie; Huidrom, Rudali; Sabry, Mohammed; O'Riordan, Amy; Belz, Anya (September 2024). "Filling Gaps in Wikipedia: Leveraging Data-to-Text Generation to Improve Encyclopedic Coverage of Underrepresented Groups". In Mahamood, Saad; Le Minh, Nguyen; Ippolito, Daphne (eds.). Proceedings of the 17th International Natural Language Generation Conference: System Demonstrations. Tokyo, Japan: Association for Computational Linguistics. pp.16–19.
Juzek, Tom S.; Ward, Zina B. (2024). "Why Does ChatGPT "Delve" So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models". arXiv:2412.11385 [cs.CL].
Russell, Jenna; Karpinska, Marzena; Iyyer, Mohit (2025). "People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text". arXiv:2501.15654v2 [cs.CL].