FutureGen: A RAG-based Approach to Generate the Future Work of Scientific Article

Papineni, Kishore, et al. “BLEU: A Method for Automatic Evaluation of Machine Translation.” Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, 2002, pp. 311–18

2002

Earlier work this paper cites.

Hara, Noriko, et al. “An emerging view of scientific collaboration: Scientists’ perspectives on collaboration and factors that impact collaboration.” Journal of the American Society for Information science and Technology 54.10 (2003): 952-965

2003

Earlier work this paper cites.

Lin, Chin-Yew. “ROUGE: A Package for Automatic Evaluation of Summaries.” Text Summarization Branches Out, 2004, pp. 74–81

2004

Earlier work this paper cites.

Hyder, Adnan A., et al. “National policy-makers speak out: are researchers giving them what they need?.” Health policy and planning 26.1 (2011): 73-82

2011

Earlier work this paper cites.

Houngbo, Hospice, and Robert E. Mercer. “Method Mention Extraction from Scientific Research Papers.” Proceedings of COLING 2012, 2012, pp. 1211–22

2012

Earlier work this paper cites.

Kelly, Jacalyn, Tara Sadeghieh, and Khosrow Adeli. “Peer review in scientific publications: benefits, critiques, & a survival guide.” Ejifcc 25.3 (2014): 227

2014

Earlier work this paper cites.

Nicholas, David, et al. “Do younger researchers assess trustworthiness differently when deciding what to read and cite and where to publish?.” International Journal of Knowledge Content Development & Technology 5.2 (2015)

2015

Earlier work this paper cites.

Conaway, Carrie, Venessa Keesler, and Nathaniel Schwartz. “What research do state education agencies really need? The promise and limitations of state longitudinal data systems.” Educational Evaluation and Policy Analysis 37.1suppl (2015): 16S-28S

2015

Earlier work this paper cites.

Hu, Yue, and Xiaojun Wan. “Mining and Analyzing the Future Works in Scientific Articles.” arXiv preprint arXiv:1507.02140, 2015

Original

2015

Earlier work this paper cites.

Teufel, Simone. “Do” Future Work” sections have a purpose? Citation links and entailment for global scientometric questions.” BIRNDL@ SIGIR (1). 2017

2017

Earlier work this paper cites.

Aguinis, Herman, Ravi S. Ramani, and Nawaf Alabduljader. “What you see is what you get? Enhancing methodological transparency in management research.” Academy of Management Annals 12.1 (2018): 83-110

2018

Earlier work this paper cites.

Gonçalves, Sérgio, et al. “A Deep Learning Approach for Sentence Classification of Scientific Abstracts.” Artificial Neural Networks and Machine Learning—ICANN 2018, edited by [Editor], Springer, 2018, pp. 479–88

2018

Earlier work this paper cites.

Zhang, Tianyi, et al. “BERTScore: Evaluating Text Generation with BERT.” arXiv preprint arXiv:1904.09675, 2019

Original

2019

Earlier work this paper cites.

Zhu, Zihe, et al. “Recognizing Sentences Concerning Future Research from the Full Text of JASIST.” Proceedings of the Association for Information Science and Technology, vol. 56, no. 1, 2019, pp. 858–59

2019

Earlier work this paper cites.

Ortagus, Justin C., et al. “Performance-based funding in American higher education: A systematic synthesis of the intended and unintended consequences.” Educational Evaluation and Policy Analysis 42.4 (2020): 520-550

2020

Earlier work this paper cites.

Hao, Wenke, et al. “The ACL FWS-RC: A Dataset for Recognition and Classification of Sentences about Future Works.” Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020, pp. 261–69

2020

Earlier work this paper cites.

Lewis, Patrick, et al. “Retrieval-augmented generation for knowledge-intensive nlp tasks.” Advances in neural information processing systems 33 (2020): 9459-9474

2020

Earlier work this paper cites.

Song, Ruoxuan, et al. “Identifying Academic Creative Concept Topics Based on Future Work of Scientific Papers.” Data Analysis and Knowledge Discovery, vol. 5, no. 5, 2021, pp. 10–20

2021

Cited alongside, same era.

Qian, Yuchen, et al. “Using Future Work Sentences to Explore Research Trends of Different Tasks in a Special Domain.” Proceedings of the Association for Information Science and Technology, vol. 58, no. 1, 2021, pp. 532–36

2021

Cited alongside, same era.

Qian, Yuchen, et al. “Using Future Work sentences to explore research trends of different tasks in a special domain.” Proceedings of the Association for Information Science and Technology 58.1 (2021): 532-536

2021

Cited alongside, same era.

Grootendorst, Maarten. “BERTopic: Neural Topic Modeling with a Class-Based TF-IDF Procedure.” arXiv preprint arXiv:2203.05794, 2022

Original

2022

Cited alongside, same era.

Madaan, Aman, et al. “Self-Refine: Iterative Refinement with Self-Feedback.” Advances in Neural Information Processing Systems, vol. 36, 2023, pp. 46534–94

2023

Later among the works it cites.

Chiang, Cheng-Han, and Hung-yi Lee. “Can Large Language Models Be an Alternative to Human Evaluations?” arXiv preprint arXiv:2305.01937, 2023

Original

2023

Later among the works it cites.

Dettmers, Tim, et al. “QLoRA: Efficient Finetuning of Quantized LLMs.” Advances in Neural Information Processing Systems, vol. 36, 2023, pp. 10088–115

2023

Later among the works it cites.

Suray, Jacques, et al. “How the Future Works at SOUPS: Analyzing Future Work Statements and Their Impact on Usable Security and Privacy Research.” arXiv preprint arXiv:2405.20785 (2024)

Original

2024

Later among the works it cites.

Si, Chenglei, Diyi Yang, and Tatsunori Hashimoto. “Can llms generate novel research ideas? a large-scale human study with 100+ nlp researchers.” arXiv preprint arXiv:2409.04109 (2024)