mlsanityData to 7 Oct 2026

FinGen: A Dataset for Argument Generation in Finance

arXiv 2405.20708 ↗First posted 31 May 2024cs.CL cs.AIcited by 0

Not on the map. Why?

Abstract (arXiv)

Thinking about the future is one of the important activities that people do in daily life. Futurists also pay a lot of effort into figuring out possible scenarios for the future. We argue that the exploration of this direction is still in an early stage in the NLP research. To this end, we propose three argument generation tasks in the financial application scenario. Our experimental results show these tasks are still big challenges for representative generation models. Based on our empirical results, we further point out several unresolved issues and challenges in this research direction.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 28 of its 47 references that are in the map. First posted on arXiv 31 May 2024.

Builds on

28 of 47 references.

References · 28

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  3. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  4. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  5. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
  6. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  7. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,462
  8. 2020Training data-efficient image transformers & distillation through attentioncited by 4,560
  9. 2021BEiT: BERT Pre-Training of Image Transformerscited by 2,360
  10. 2019PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarizationcited by 1,100
  11. 2021TrOCR: Transformer-based Optical Character Recognition with Pre-trained Modelscited by 278
  12. 2022LinkBERT: Pretraining Language Models with Document Linkscited by 209
16 more
  1. 2021Planning with Learned Entity Prompts for Abstractive Summarizationcited by 75
  2. 2019UER: An Open-Source Toolkit for Pre-training Modelscited by 61
  3. 2022Generating Scientific Claims for Zero-Shot Scientific Fact Checkingcited by 59
  4. 2019Argument Generation with Retrieval, Planning, and Realizationcited by 45
  5. 2020Aspect-Controlled Neural Argument Generationcited by 43
  6. 2021Zero-shot Fact Verification by Claim Generationcited by 42
  7. 2020PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generationcited by 35
  8. 2018Neural Argument Generation Augmented with Externally Retrieved Evidencecited by 34
  9. 2022PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generationcited by 30
  10. 2022A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generationcited by 28
  11. 2020Generating Label Cohesive and Well-Formed Adversarial Claimscited by 27
  12. 2022Neural reality of argument structure constructionscited by 25
  13. 2022The Moral Debater: A Study on the Computational Generation of Morally Framed Argumentscited by 22
  14. 2022Fair and Argumentative Language Modeling for Computational Argumentationcited by 18
  15. 2020The workweek is the best time to start a family -- A Study of GPT-2 Based Claim Generationcited by 15
  16. 2021Belief-based Generation of Argumentative Claimscited by 14

Built on by

Not cited yet.