🔗 Who cites «Language Models can Self-Lengthen to Generate Long Texts»

13 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Language Models can Self-Lengthen to Generate Long Texts»

1. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
2. OmniThink: Expanding Knowledge Boundaries in Machine Writing through ThinkingConference on Empirical Methods in Natural Language Processing (EMNLP)Zekun Xi, Wenbiao Yin, Jizhan Fang, et al.2025 · 14 citations
3. SuperWriter: Reflection-Driven Long-Form Generation with Large Language ModelsFindings of the Association for Computational LinguisticsYuhao Wu, Yushi Bai, Zhiqiang Hu, et al.2026 · 6 citations
4. Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Xuanyu Lei, Chenliang Li, Yuning Wu, et al.2026 · 4 citations
5. From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation TasksFindings of the Association for Computational LinguisticsQingyu Ren, Tianjun Pan, Xingzhou Chen, et al.2026
6. PodBench: A Comprehensive Benchmark for Instruction-Aware Audio-Oriented Podcast Script GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Chenning Xu, Mao Zheng, Mingyu Zheng, et al.2026

7 more papers of our library cite it; they have no page here yet.

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