Fetching the paper…
Reading the bibliography…
Large Language Models (LLMs) can generate creative and engaging narratives from user-specified input, but maintaining coherence and emotional depth throughout these AI-generated stories remains a challenge.
“Using tf-idf to determine word relevance in document queries,” 2003
Juan Ramos et al., · 2003
Earlier work this paper cites.
“The problem of narrative coherence,”
Dan P McAdams, · 2006
Earlier work this paper cites.
“Semantic cosine similarity,” 2012
Faisal Rahutomo, Teruaki Kitasuka, Masayoshi Aritsugi, et al., · 2012
Earlier work this paper cites.
“Language models are unsupervised multitask learners,” 2019,
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever, · 2019
Earlier work this paper cites.
“Retrieval-augmented generation for knowledge-intensive nlp tasks,”
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al., · 2020
Earlier work this paper cites.
“Bilateral personalized dialogue generation with contrastive learning,”
Bin Li and Hanjun Deng, · 2023
Earlier work this paper cites.
“Generative agents: Interactive simulacra of human behavior,” 2023
Joon Sung Park, Joseph C. O’Brien, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein, · 2023
Cited alongside, same era.
“Tfb: Towards comprehensive and fair benchmarking of time series forecasting methods,”
Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, and Bin Yang, · 2024
Cited alongside, same era.
“Towards visual-prompt temporal answer grounding in instructional video,”
Shutao Li, Bin Li, Bin Sun, and Yixuan Weng, · 2024
Cited alongside, same era.
“Distinct but correct: generating diversified and entity-revised medical response,”
Bin Li, Bin Sun, Shutao Li, Encheng Chen, Hongru Liu, Yixuan Weng, Yongping Bai, and Meiling Hu, · 2024
Cited alongside, same era.
“Rolecraft-glm: Advancing personalized role-playing in large language models,”
Meiling Tao, Liang Xuechen, Tianyu Shi, Lei Yu, and Yiting Xie, · 2024
Cited alongside, same era.
“Generating visual stories with grounded and coreferent characters,”
Danyang Liu, Mirella Lapata, and Frank Keller, · 2024
Later among the works it cites.
“A survey on the memory mechanism of large language model based agents,”
Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, and Ji-Rong Wen, · 2024
Later among the works it cites.
Matthijs Douze, Alexandr Guzhva, Chengqi Deng, Jeff Johnson, Gergely Szilvasy, Pierre-Emmanuel Mazaré, Maria Lomeli, Lucas Hosseini, and Hervé Jégou, · 2024
Later among the works it cites.
“Easytime: Time series forecasting made easy,”
Xiangfei Qiu, Xiuwen Li, Ruiyang Pang, Zhicheng Pan, Xingjian Wu, Liu Yang, Jilin Hu, Yang Shu, Xuesong Lu, Chengcheng Yang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, and Bin Yang, · 2025
Closest in time.
“Duet: Dual clustering enhanced multivariate time series forecasting,”
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Aisha Khatun and Daniel G Brown, · 2024
Cited alongside, same era.
Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, and Bin Yang, · 2025
Closest in time.