Jifan Yu
Jifan Yu has 4 papers in our library, in 2023–2026, most of them on Dialogue systems; often with Daniel Zhang-Li, Huiqin Liu, Juanzi Li.
OpenAlex · ORCID · Wikidata · h-index 13 · 89 works · 776 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 199 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6012
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArtificial Intelligence · 4 worksArts and Humanities · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 2 worksComputer Vision and Pattern Recognition · 1 workSoftware · 1 work
🧭 Topics 1Research subjects and languages the work is about.Dialogue systems · 1 work
Works by year
2020s
Papers
- Simulating Classroom Education with LLM-Empowered Agents (2025 · 84 citations)
SimClass is a framework that tests whether a group of LLM-driven agents can run a convincing virtual classroom with real learners. - CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models (2023 · 60 citations)
General-purpose LLMs are mostly trained on short, task-oriented exchanges. As a result, they handle long social conversations poorly, especially when asked to stay in a specific persona. Prompting them to role-play tends to lose consistency and liveliness over many turns. Classic persona-based dialogue covers only… - SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation (2024 · 21 citations)
SpreadsheetBench tackles a weakness in how LLM-based spreadsheet assistants are evaluated. Earlier benchmarks rely on synthetic or crowdsourced instructions, simple single-table sheets, and a single check per task. The authors collected solved questions from four Excel help forums (ExcelForum, Chandoo, MrExcel… - From Knowing to Teaching: Scaffolding Pedagogical Decisions for LLM Agent (2026)
LLMs know a great deal about many subjects, but they struggle to turn that knowledge into good lessons. Their generated lessons look tidy yet misuse sources, skip foundational steps, and quiz learners on material never presented. The authors frame this as a knowing-teaching gap, drawing on Shulman's notion of…
All works
- Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJing Zhang et al.2022 · 192 citations
- MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetJifan Yu et al.2020 · 155 citations
- Simulating Classroom Education with LLM-Empowered AgentsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zheyuan Zhang, Daniel Zhang-Li, Jifan Yu, et al.2025 · 84 citations
- CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language ModelsarXiv:2311.16832Jinfeng Zhou, Zhuang Chen, Dazhen Wan, et al.2023 · 60 citations
- SpreadsheetBench: Towards Challenging Real World Spreadsheet ManipulationConference on Neural Information Processing Systems (NeurIPS)Zeyao Ma, Bohan Zhang, Jing Zhang, et al.2024 · 21 citations
- From Knowing to Teaching: Scaffolding Pedagogical Decisions for LLM AgentAnnual Meeting of the Association for Computational Linguistics (ACL)Yucheng Wang, Shen Yang, Jifan Yu, et al.2026
Co-authors here
- Daniel Zhang-Li ×2
- Huiqin Liu ×2
- Juanzi Li ×2
- Lei Hou ×2
- Xiaohan Zhang ×2
- Bin Xu
- Bohan Zhang
- Bosi Wen
- Haoxuan Li
- Jie Cao
- Jie Tang
- Jinfeng Zhou
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×3: ACL 2026
- Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2025
- Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2024
Cited by
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