---
title: "Who cites Hierarchical Neural Story Generation — page 2"
description: "794 papers of the Elamur Research library cite «Hierarchical Neural Story Generation», found in their bibliographies · page 2 of 2 · 101–142…"
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---
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# Who cites «Hierarchical Neural Story Generation»

794 papers of our library cite it (of the 149,439 whose bibliographies we read) · 142 with a page here, the most cited first · page 2 of 2 · 101–142 · [← back to «Hierarchical Neural Story Generation»](https://md.research.elamur.ai/free/en/papers/fan-2018-hierarchical-neural-story-generation/)

[← prev](https://md.research.elamur.ai/free/en/papers/fan-2018-hierarchical-neural-story-generation/cited-by/) [1](https://md.research.elamur.ai/free/en/papers/fan-2018-hierarchical-neural-story-generation/cited-by/) **2**

101. **[Octopus: A Multitask Model and Toolkit for Arabic Natural Language Generation](https://md.research.elamur.ai/free/en/papers/elmadany-2023-octopus-multitask-model-toolkit-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**AbdelRahim Elmadany, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed*2023 · 29 citations*
102. **[TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation](https://md.research.elamur.ai/free/en/papers/nagoudi-2022-turjuman-public-toolkit-neural-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed*2022 · 21 citations*
103. **[CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation](https://md.research.elamur.ai/free/en/papers/ziegler-2025-craft-your-dataset-task-specific/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ingo Ziegler, Abdullatif Köksal, Desmond Elliott, et al.*2025 · 20 citations*
104. **[Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little Data](https://md.research.elamur.ai/free/en/papers/naous-2021-empathetic-bert2bert-conversational-model-learning/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Tarek Naous, Wissam Antoun, Reem Mahmoud, et al.*2021 · 20 citations*
105. **[Suri: Multi-constraint Instruction Following in Long-form Text Generation](https://md.research.elamur.ai/free/en/papers/pham-2024-suri-multi-constraint-instruction-following/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chau Minh Pham, Simeng Sun, Mohit Iyyer*2024 · 19 citations*
106. **[Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore](https://md.research.elamur.ai/free/en/papers/wu-2025-who-wrote-this-key-zero/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Junchao Wu, Runzhe Zhan, Derek F. Wong, et al.*2025 · 17 citations*
107. [**Language Models can Self-Lengthen to Generate Long Texts arXiv:2410.23933**Shanghaoran Quan, Tianyi Tang, Bowen Yu, et al.*2024 · 13 citations*](https://md.research.elamur.ai/free/en/papers/quan-2024-language-models-self-lengthen-generate/)
108. **[Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation](https://md.research.elamur.ai/free/en/papers/arias-2025-decoding-decoded-understanding-hyperparameter-effects/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Esteban Garces Arias, Meimingwei Li, Christian Heumann, et al.*2025 · 12 citations*
109. **[Literature Meets Data: A Synergistic Approach to Hypothesis Generation](https://md.research.elamur.ai/free/en/papers/liu-2025-literature-meets-data-synergistic-approach/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haokun Liu, Yangqiaoyu Zhou, Mingxuan Li, et al.*2025 · 12 citations*
110. **[Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation](https://md.research.elamur.ai/free/en/papers/zhou-2025-balancing-diversity-risk-llm-sampling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxuan Zhou, Margret Keuper, Mario Fritz*2025 · 11 citations*
111. **[Arabic Automatic Story Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/shangiti-2024-arabic-automatic-story-generation-large/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Ahmed Oumar El-Shangiti, Fakhraddin Alwajih, Muhammad Abdul-Mageed*2024 · 9 citations*
112. **[Rethinking Creativity Evaluation: A Critical Analysis of Existing Creativity Evaluations](https://md.research.elamur.ai/free/en/papers/lu-2026-rethinking-creativity-evaluation-critical-analysis/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Li-Chun Lu, Miri Liu, Pin Chun Lu, et al.*2026 · 3 citations*
113. **[Digitizing Nepal's Written Heritage: A Comprehensive HTR Pipeline for Old Nepali Manuscripts](https://md.research.elamur.ai/free/en/papers/sarawgi-2026-digitizing-nepal-s-written-heritage/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Anjali Sarawgi, Esteban Garces Arias, Christof Zotter*2026 · 2 citations*
114. **[Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware Calibration](https://md.research.elamur.ai/free/en/papers/shen-2026-improving-throughput-diffusion-based-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jucheng Shen, Gaurav Sarkar, Yeonju Ro, et al.*2026 · 2 citations*
115. **[Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention](https://md.research.elamur.ai/free/en/papers/yang-2026-less-is-more-improving-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhen Yang, Mingyang Zhang, Feng Chen, et al.*2026 · 2 citations*
116. **[Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation](https://md.research.elamur.ai/free/en/papers/shen-2026-preconditioned-test-time-adaptation-out/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hanwen Shen, Ting Ying, Jiajie Lu, et al.*2026 · 2 citations*
117. **[EvolvR: Self-Evolving Pairwise Reasoning for Story Evaluation to Enhance Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-evolvr-self-evolving-pairwise-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinda Wang, Zhengxu Hou, Yangshijie Zhang, et al.*2026 · 1 citation*
118. **[Frankentext: Stitching random text fragments into long-form narratives](https://md.research.elamur.ai/free/en/papers/pham-2026-frankentext-stitching-random-text-fragments/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chau Minh Pham, Jenna Russell, Dzung Pham, et al.*2026 · 1 citation*
119. **[ReproHum #0669-08: Reproducing a Recipe for Arbitrary Text Style Transfer with LLMs](https://md.research.elamur.ai/free/en/papers/mahamood-2026-reprohum-0669-08-reproducing-recipe/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Saad Mahamood*2026 · 1 citation*
120. **[Text-to-Text Automatic Story Generation: A Survey](https://md.research.elamur.ai/free/en/papers/ma-2026-text-text-automatic-story-generation/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yuan Ma, Richard Susilo, Patrik Haslum, et al.*2026 · 1 citation*
121. **[UniCreative: Unifying Long-form Logic and Short-form Sparkle via Reference-Free Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wei-2026-unicreative-unifying-long-form-logic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaolong Wei, Zerun Zhu, Simin Niu, et al.*2026 · 1 citation*
122. **[Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding](https://md.research.elamur.ai/free/en/papers/mohammed-2026-unlocking-latent-discourse-translation-llms/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Wafaa Mohammed, Vlad Niculae, Chrysoula Zerva*2026 · 1 citation*
123. [**Adaptive Originality Filtering: Rejection Based Prompting and RiddleScore for Culturally Grounded Multilingual Riddle Generation arXiv:2508.18709**Duy Le, Kent Ziti, Evan Girard-Sun, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/le-2025-adaptive-originality-filtering-rejection-based/)
124. **[A Linguistics-Aware LLM Watermarking via Syntactic Predictability](https://md.research.elamur.ai/free/en/papers/park-2026-linguistics-aware-llm-watermarking-syntactic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shinwoo Park, Hyejin Park, Hyeseon An, et al.*2026*
125. **[A Universal Avoidance Method for Diverse Multi-branch Generation](https://md.research.elamur.ai/free/en/papers/park-2026-universal-avoidance-method-diverse-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kyeongman Park, Minha Jhang, Kyomin Jung*2026*
126. [**Beyond Poetry: Can Large Language Models Generate Classical Arabic Maqamat? arXiv:2609.28245**AbdulRahman A. Morsy, Aya Zirikly Department of Computer Science, School of Engineering, et al.*2026*](https://md.research.elamur.ai/free/en/papers/morsy-2026-poetry-large-language-models-generate/)
127. **[CHAIRO: Contextual Hierarchical Analogical Induction and Reasoning Optimization for LLMs](https://md.research.elamur.ai/free/en/papers/lu-2026-chairo-contextual-hierarchical-analogical-induction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haotian Lu, Yuchen Mou, Bingzhe Wu*2026*
128. **[Contextual Diversity Measure (CDM) for Controllable Story Generation in Large Language Models](https://md.research.elamur.ai/free/en/papers/susilo-2026-contextual-diversity-measure-cdm-controllable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Richard Susilo, Hanna Suominen, Patrik Haslum*2026*
129. **[From Traditional Taggers to LLMs: A Comparative Study of POS Tagging for Medieval Romance Languages](https://md.research.elamur.ai/free/en/papers/schoffel-2026-traditional-taggers-llms-comparative-study/) [International Conference on Natural Language Processing for the Digital Humanities](https://md.research.elamur.ai/free/en/venues/nlp4dh/)**Matthias Schöffel, Esteban Garces Arias*2026*
130. **[How Far Can Bias Go? Tracing Bias from Pre-Training Data to Alignment](https://md.research.elamur.ai/free/en/papers/thaler-2026-how-far-can-bias-go/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.*2026*
131. **[Leveraging Outline-Optimized Generative Interactions and Critique for Self-Refining Outlines with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-leveraging-outline-optimized-generative-interactions/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hengwei Liu, Haoyuan Ma, Qingqing Lyu, et al.*2026*
132. **[Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/zheng-2026-model-directions-not-words-mechanistic/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Carolina Zheng, Nicolas Beltran-Velez, Sweta Karlekar, et al.*2026*
133. **[Noise Steering for Controlled Text Generation: Improving Diversity and Reading-Level Fidelity in Arabic Educational Story Generation](https://md.research.elamur.ai/free/en/papers/khalid-2026-noise-steering-controlled-text-generation/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Haziq Khalid, Salsabeel Shapsough, Imran Zualkernan*2026*
134. **[Output-Space Search: Targeting LLM Generations in a Frozen Encoder-Defined Output Space](https://md.research.elamur.ai/free/en/papers/materzok-2026-output-space-search-targeting-llm/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**Tobias Materzok*2026*
135. **[Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-parallel-universes-parallel-languages-comprehensive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qianli Wang, Van Bach Nguyen, Yihong Liu, et al.*2026*
136. **[The Impact of Off-Policy Training Data on Probe Generalisation](https://md.research.elamur.ai/free/en/papers/skapars-2026-impact-off-policy-training-data/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Adrians Skapars, Nathalie Maria Kirch, Samuel Dower, et al.*2026*
137. **[Think Before you Write: QA-Guided Reasoning for Character Descriptions in Books](https://md.research.elamur.ai/free/en/papers/papoudakis-2026-think-before-you-write-qa/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Argyrios Papoudakis, Mirella Lapata, Frank Keller*2026*
138. **[Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social Simulation](https://md.research.elamur.ai/free/en/papers/ma-2026-too-open-opinion-embracing-open/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Bolei Ma, Yong Cao, Indira Sen, et al.*2026*
139. **[Toxic Subword Pruning for Dialogue Response Generation on Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2026-toxic-subword-pruning-dialogue-response/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Hongyuan Adam Lu, Wai Lam*2026*
140. **[WaveDetect: Robust Framework for Machine-Generated Text Detection via Wavelet Transform](https://md.research.elamur.ai/free/en/papers/liu-2026-wavedetect-robust-framework-machine-generated/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhichen Liu, Kaitong Qin, Linhan He, et al.*2026*
141. **[🧑‍🍳 Cooking Up Creativity: Enhancing LLM Creativity through Structured Recombination](https://md.research.elamur.ai/free/en/papers/mizrahi-2026-cooking-up-creativity-enhancing-llm/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Moran Mizrahi, Chen Shani, Gabriel Stanovsky, et al.*2026*
142. [**LangLingual: A Personalised, Exercise-oriented English Language Learning Tool Leveraging Large Language Models arXiv:2510.23011**Sammriddh Gupta, Sonit Singh, Aditya Joshi, et al.*2025*](https://md.research.elamur.ai/free/en/papers/gupta-2025-langlingual-personalised-exercise-oriented-english/)

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