🧑‍🔬 Who cites Friederike Niedtner

57 citations of their works from 57 papers of our library (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · ← Friederike Niedtner

1. Large Language Models for Information Retrieval: A SurveyACM Transactions on Information SystemsYutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen2023 · 339 citations
2. Beyond Human Data: Scaling Self-Training for Problem-Solving with Language ModelsarXiv:2312.06585Avi Singh, John D. Co-Reyes, Rishabh Agarwal, et al.2023 · 147 citations
3. Optimizing Instructions and Demonstrations for Multi-Stage Language Model ProgramsConference on Empirical Methods in Natural Language Processing (EMNLP)Krista Opsahl-Ong, Michael J Ryan, Josh Purtell, et al.2024 · 99 citations
4. Multi-Agent Collaboration Mechanisms: A Survey of LLMsarXiv:2501.06322Khanh-Tung Tran, Dung Dao, Minh-Duong Nguyen, et al.2025 · 95 citations
5. Why Do Multi-Agent LLM Systems Fail?arXiv:2503.13657Mert Cemri, Melissa Z. Pan, Shuyi Yang, et al.2025 · 89 citations
6. Wider and Deeper LLM Networks are Fairer LLM EvaluatorsarXiv:2308.01862Xinghua Zhang, Bowen Yu, Haiyang Yu, et al.2023 · 75 citations
7. MLGym: A New Framework and Benchmark for Advancing AI Research AgentsarXiv:2502.14499Deepak Nathani, Lovish Madaan, Nicholas Roberts, et al.2025 · 50 citations
8. A Systematic Survey of Automatic Prompt Optimization TechniquesConference on Empirical Methods in Natural Language Processing (EMNLP)Kiran Ramnath, Kang Zhou, Sheng Guan, et al.2025 · 40 citations
9. A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic SystemsarXiv:2504.09037Zixuan Ke, Fangkai Jiao, Yifei Ming, et al.2025 · 39 citations
10. Symbolic Learning Enables Self-Evolving AgentsarXiv:2406.18532Wangchunshu Zhou, Yixin Ou, Shengwei Ding, et al.2024 · 34 citations
11. AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research SuitearXiv:2510.21652Jonathan Bragg, Mike D'Arcy, Nishant Balepur, et al.2025 · 19 citations
12. Aviary: training language agents on challenging scientific tasksarXiv:2412.21154Siddharth Narayanan, James D. Braza, Ryan-Rhys Griffiths, et al.2024 · 18 citations
13. AutoAgent: A Fully-Automated and Zero-Code Framework for LLM AgentsFindings of the Association for Computational LinguisticsJiabin Tang, Tianyu Fan, Chao Huang2026 · 13 citations
14. Beyond Outlining: Heterogeneous Recursive Planning for Adaptive Long-form Writing with Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Ruibin Xiong, Yimeng Chen, Dmitrii Khizbullin, et al.2025 · 8 citations
15. Scaling Collaborative Effort with AgentsFindings of the Association for Computational LinguisticsShannon Zejiang Shen, Valerie Chen, Ken Gu, et al.2026 · 7 citations
16. Coding Agents with Multimodal Browsing are Generalist Problem SolversFindings of the Association for Computational LinguisticsAditya Bharat Soni, Boxuan Li, Xingyao Wang, et al.2026 · 5 citations
17. The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT ImprovementsConference on Neural Information Processing Systems (NeurIPS)Bingchen Zhao, Despoina Magka, Minqi Jiang, et al.2025 · 4 citations
18. a1: Steep Test-time Scaling Law via Environment Augmented GenerationFindings of the Association for Computational LinguisticsLingrui Mei, Shenghua Liu, Yiwei Wang, et al.2026 · 2 citations
19. EvoRoute: Experience-Driven Self-Routing LLM Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Guibin Zhang, Haiyang Yu, Kaiming Yang, et al.2026 · 2 citations
20. PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy ConstraintsFindings of the Association for Computational LinguisticsMinjun Park, Donghyun Kim, Hyeonjong Ju, et al.2026 · 1 citation

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