---
title: "Who cites Jiayi Geng — 69 papers of our library"
description: "69 papers of the Elamur Research library cite the works of Jiayi Geng, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/jiayi-geng/cited-by/"
---
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# Who cites Jiayi Geng

70 citations of their works from 69 papers of our library (of the 149,439 whose bibliographies we read) · 25 with a page here, the most cited first · [← Jiayi Geng](https://md.research.elamur.ai/free/en/authors/jiayi-geng/)

1. **[How to Train Long-Context Language Models (Effectively)](https://md.research.elamur.ai/free/en/papers/gao-2025-how-train-long-context-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyu Gao, Alexander Wettig, Howard Yen, et al.*2025 · 89 citations*
2. **[Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors](https://md.research.elamur.ai/free/en/papers/maurya-2025-unifying-ai-tutor-evaluation-evaluation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Kaushal Kumar Maurya, Kv Aditya Srivatsa, Kseniia Petukhova, et al.*2025 · 53 citations*
3. [**Towards responsible development of generative AI for education: An evaluation-driven approach**Jurenka*2024 · 53 citations*](https://md.research.elamur.ai/free/en/papers/jurenka-2024-responsible-development-generative-ai-education/)
4. [**MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series arXiv:2405.19327**Ge Zhang, Scott Qu, Jiaheng Liu, et al.*2024 · 44 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-map-neo-highly-capable-transparent/)
5. [**A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence arXiv:2507.21046**Huan-ang Gao, Jiayi Geng, Wenyue Hua, et al.*2025 · 36 citations*](https://md.research.elamur.ai/free/en/papers/gao-2025-survey-self-evolving-agents-where/)
6. **[Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors](https://md.research.elamur.ai/free/en/papers/daheim-2024-stepwise-verification-remediation-student-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Nico Daheim, Jakub Macina, Manu Kapur, et al.*2024 · 35 citations*
7. **[MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors](https://md.research.elamur.ai/free/en/papers/macina-2025-mathtutorbench-benchmark-measuring-open-ended/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jakub Macina, Nico Daheim, Ido Hakimi, et al.*2025 · 33 citations*
8. **[CiteME: Can Language Models Accurately Cite Scientific Claims?](https://md.research.elamur.ai/free/en/papers/press-2024-citeme-language-models-accurately/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Ori Press, Andreas Hochlehnert, Ameya Prabhu, et al.*2024 · 25 citations*
9. [**From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery arXiv:2508.14111**Jiaqi Wei, Yuejin Yang, Xiang Zhang, et al.*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/wei-2025-ai-science-agentic-science/)
10. **[From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/jianu-2025-problem-solving-teaching-problem-solving/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**David Dinucu-Jianu, Jakub Macina, Nico Daheim, et al.*2025 · 19 citations*
11. [**EXP-Bench: Can AI Conduct AI Research Experiments? arXiv:2505.24785**Patrick Tser Jern Kon, Jiachen Liu, Xinyi Zhu, et al.*2025 · 17 citations*](https://md.research.elamur.ai/free/en/papers/kon-2025-exp-bench-ai-conduct/)
12. [**Can Large Reasoning Models Self-Train? arXiv:2505.21444**Sheikh Shafayat, Fahim Tajwar, Ruslan Salakhutdinov, et al.*2025 · 16 citations*](https://md.research.elamur.ai/free/en/papers/shafayat-2025-large-reasoning-models-self-train/)
13. [**The Open Proof Corpus: A Large-Scale Study of LLM-Generated Mathematical Proofs arXiv:2506.21621**Jasper Dekoninck, Ivo Petrov, Kristian Minchev, et al.*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/dekoninck-2025-open-proof-corpus-large-scale/)
14. [**EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery arXiv:2603.08127**Yougang Lyu, Xi Zhang, Xinhao Yi, et al.*2026 · 10 citations*](https://md.research.elamur.ai/free/en/papers/lyu-2026-evoscientist-towards-multi-agent-evolving/)
15. [**CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery arXiv:2604.01658**Ao Qu, Han Zheng, Zijian Zhou, et al.*2026 · 9 citations*](https://md.research.elamur.ai/free/en/papers/qu-2026-coral-towards-autonomous-multi-agent/)
16. **[Mem²Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillation](https://md.research.elamur.ai/free/en/papers/cheng-2026-mem-2-evolve-self-evolving/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zihao Cheng, Zeming Liu, Yingyu Shan, et al.*2026 · 5 citations*
17. **[Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection](https://md.research.elamur.ai/free/en/papers/zhang-2026-bidirectional-lms-are-better-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuwei Zhang, Wenhao Yu, Shangbin Feng, et al.*2026 · 4 citations*
18. **[MemoBrain: Executive Memory as an Agentic Brain for Reasoning](https://md.research.elamur.ai/free/en/papers/qian-2026-memobrain-executive-memory-as-agentic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongjin Qian, Zhao Cao, Zheng Liu*2026 · 1 citation*
19. **[On Safety Risks in Experience-Driven Self-Evolving Agents](https://md.research.elamur.ai/free/en/papers/zhao-2026-safety-risks-experience-driven-self/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weixiang Zhao, Yichen Zhang, Yingshuo Wang, et al.*2026 · 1 citation*
20. **[What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search](https://md.research.elamur.ai/free/en/papers/zhang-2026-what-makes-llm-good-optimizer/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinhao Zhang, Xi Chen, François Portet, et al.*2026 · 1 citation*
21. **[A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions](https://md.research.elamur.ai/free/en/papers/yu-2026-survey-reinforcement-learning-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiyin Yu, Yuchen Mou, Juncheng Yan, et al.*2026*
22. **[Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning](https://md.research.elamur.ai/free/en/papers/wu-2026-agent-dice-disentangling-knowledge-updates/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zheng Wu, Xingyu Lou, Xinbei Ma, et al.*2026*
23. **[GUI0: Self-Evolving Foundational GUI Agents in Super App Ecosystems](https://md.research.elamur.ai/free/en/papers/wang-2026-gui0-self-evolving-foundational-gui/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinyi Wang, Wei Dai, Kyle Qiao, et al.*2026*
24. **[Self-Sum: Teaching an Agent to Decide Itself When and What to Summarize](https://md.research.elamur.ai/free/en/papers/wang-2026-self-sum-teaching-agent-decide/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongru Wang, Rui Wang, Jushi Kai, et al.*2026*
25. **[Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience Refinement](https://md.research.elamur.ai/free/en/papers/yang-2026-self-evolving-agents-enabling-autonomy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cheng Yang, Xuemeng Yang, Licheng Wen, et al.*2026*

44 more citing papers of our library have no page here yet.

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