🧑🔬 Who cites Johannes Heidecke4 332 citations of their works from 3 808 papers of our library (of the 140 884 whose bibliographies we read) · 163 with a page here, the most cited first · page 1 of 7 · ← Johannes Heidecke
A Survey of Large Language Models Wayne Xin Zhao, Kun Zhou, Junyi Li, et al. 2023 · 2 847 citations M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation Jianlv Chen, Shitao Xiao, Peitian Zhang, et al. 2024 · 1 196 citations OpenAI o1 System Card OpenAI, Aaron Jaech, Adam Kalai, et al. 2024 · 1 065 citations MTEB: Massive Text Embedding Benchmark Niklas Muennighoff, Nouamane Tazi, Loïc Magne, et al. 2022 · 1 021 citations C-Pack: Packed Resources For General Chinese Embeddings Shitao Xiao, Zheng Liu, Peitian Zhang, et al. 2023 · 920 citations Text Embeddings by Weakly-Supervised Contrastive Pre-training Liang Wang, Nan Yang, Xiaolong Huang, et al. 2022 · 594 citations gpt-oss-120b & gpt-oss-20b Model Card OpenAI: Sandhini Agarwal, Lama Ahmad, Jason Ai, et al. 2025 · 555 citations Instruction Tuning for Large Language Models: A Survey Shengyu Zhang, Linfeng Dong, Xiaoya Li, et al. 2023 · 515 citations Improving Text Embeddings with Large Language Models Liang Wang, Nan Yang, Xiaolong Huang, et al. 2024 · 433 citations Kimi k1.5: Scaling Reinforcement Learning with LLMs Kimi Team, Angang Du, Bofei Gao, et al. 2025 · 413 citations Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis Chaoyou Fu, Yuhan Dai, Yongdong Luo, et al. 2024 · 403 citations Tulu 3: Pushing Frontiers in Open Language Model Post-Training Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al. 2024 · 379 citations Towards General Text Embeddings with Multi-stage Contrastive Learning Zehan Li, Xin Zhang, Yanzhao Zhang, et al. 2023 · 378 citations Large Language Models for Information Retrieval: A Survey Yutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen 2023 · 335 citations Kimi K2: Open Agentic Intelligence Kimi Team, Yifan Bai, Yiping Bao, et al. 2025 · 331 citations Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models Yanzhao Zhang, Mingxin Li, Dingkun Long, et al. 2025 · 313 citations Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning Bowen Jin, Hansi Zeng, Zhenrui Yue, et al. 2025 · 303 citations Fine-Tuning LLaMA for Multi-Stage Text Retrieval Xueguang Ma, Liang Wang, Nan Yang, et al. 2023 · 254 citations Personality Traits in Large Language Models Greg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al. 2023 · 251 citations OpenAI GPT-5 System Card Aaditya Singh, Adam Fry, Adam Perelman, et al. 2025 · 247 citations mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval Xin Zhang, Yanzhao Zhang, Dingkun Long, et al. 2024 · 236 citations Humanity's Last Exam Long Phan, Alice Gatti, Ziwen Han, et al. 2025 · 235 citations NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models Chankyu Lee, Rajarshi Roy, Mengyao Xu, et al. 2024 · 219 citations Accelerating scientific discovery with Co-Scientist Juraj Gottweis, Wei-Hung Weng, Alexander Daryin, et al. 2025 · 212 citations LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, et al. 2024 · 209 citations ↑ back to top
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