🧑‍🔬 Who cites Laurent Orseau

67 citations of their works from 67 papers of our library (of the 149,439 whose bibliographies we read) · 29 with a page here, the most cited first · ← Laurent Orseau

1. Survey of Hallucination in Natural Language GenerationACM Computing SurveysZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,974 citations
2. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,231 citations
3. LLMLingua: Compressing Prompts for Accelerated Inference of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, et al.2023 · 338 citations
4. Large Language Models Are Zero-Shot Time Series ForecastersConference on Neural Information Processing Systems (NeurIPS)Nate Gruver, Marc Finzi, Shikai Qiu, et al.2023 · 268 citations
5. Will we run out of data? Limits of LLM scaling based on human-generated dataarXiv:2211.04325Pablo Villalobos, Anson Ho, Jaime Sevilla, et al.2022 · 198 citations
6. Large Language Diffusion ModelsConference on Neural Information Processing Systems (NeurIPS)Shen Nie, Fengqi Zhu, Zebin You, et al.2025 · 178 citations
7. Scaling Synthetic Data Creation with 1,000,000,000 PersonasarXiv:2406.20094Tao Ge, Xin Chan, Xiaoyang Wang, et al.2024 · 171 citations
8. LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt CompressionarXiv:2310.06839Huiqiang Jiang, Qianhui Wu, Xufang Luo, et al.2023 · 158 citations
9. Hallucination of Multimodal Large Language Models: A SurveyarXiv:2404.18930Zechen Bai, Pichao Wang, Tianjun Xiao, et al.2024 · 120 citations
10. In-context Autoencoder for Context Compression in a Large Language ModelarXiv:2307.06945Tao Ge, Jing Hu, Lei Wang, et al.2023 · 114 citations
11. Skywork: A More Open Bilingual Foundation ModelarXiv:2310.19341Tianwen Wei, Liang Zhao, Lichang Zhang, et al.2023 · 91 citations
12. Layer by Layer: Uncovering Hidden Representations in Language ModelsarXiv:2502.02013Oscar Skean, Md Rifat Arefin, Dan Zhao, et al.2025 · 64 citations
13. Language Models Can Teach Themselves to Program BetterarXiv:2207.14502Patrick Haluptzok, Matthew Bowers, Adam Tauman Kalai2023 · 54 citations
14. Why do language models perform worse for morphologically complex languages?International Conference on Computational Linguistics (COLING)Catherine Arnett, Benjamin Bergen2025 · 53 citations
15. A Survey on Deep Learning for Theorem ProvingarXiv:2404.09939Zhaoyu Li, Jialiang Sun, Logan Murphy, et al.2024 · 46 citations
16. Evaluating Frontier Models for Dangerous CapabilitiesarXiv:2403.13793Mary Phuong, Matthew Aitchison, Elliot Catt, et al.2024 · 36 citations
17. RWKV-7 "Goose" with Expressive Dynamic State EvolutionarXiv:2503.14456Bo Peng, Ruichong Zhang, Daniel Goldstein, et al.2025 · 23 citations
18. Entropy Law: The Story Behind Data Compression and LLM PerformancearXiv:2407.06645Mingjia Yin, Chuhan Wu, Yufei Wang, et al.2024 · 22 citations
19. MoRAL: MoE Augmented LoRA for LLMs' Lifelong LearningarXiv:2402.11260Shu Yang; Muhammad Asif Ali; Cheng-Long Wang; Lijie Hu;, Di Wang2024 · 21 citations
20. The Vector Grounding ProblemarXiv:2304.01481Dimitri Coelho Mollo, Raphael Milliere2023 · 20 citations
21. Pre-training Distillation for Large Language Models: A Design Space ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Peng, Xin Lv, Yushi Bai, et al.2025 · 14 citations
22. Open-Endedness is Essential for Artificial Superhuman IntelligencearXiv:2406.04268Edward Hughes, Michael Dennis, Jack Parker-Holder, et al.2024 · 14 citations
23. How Much Can RAG Help the Reasoning of LLM?arXiv:2410.02338Jingyu Liu, Jiaen Lin, Yong Liu2024 · 13 citations
24. CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving ChallengesFindings of the Association for Computational LinguisticsZihan Wang, Lam Nguyen, Zhengyang Zhao, et al.2026 · 6 citations
25. Aligning Large Language Models via Fully Self-Synthetic DataAnnual Meeting of the Association for Computational Linguistics (ACL)Shangjian Yin, Zhepei Wei, Xinyu Zhu, et al.2026 · 2 citations
26. From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic HorizonsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangyu Ma, Teng Xiao, Zuchao Li, et al.2026
27. Letters hide the truth from our eyes: English homophones have meaningfully different phonetic realizationsarXiv:2608.26749Yu-Hsiang Tseng, Mirjam T. C. Ernestus, Louis F. M. ten Bosch, et al.2026
28. Shuttle Between Symbolic Instructions and Neural Parameters of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wangtao Sun, Haotian Xu, Huanxuan Liao, et al.2026
29. Shakespeare, Entropy and Educated MonkeysarXiv:2512.11880Ioannis Kontoyiannis2025

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

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