Data augmentation using llms: Data perspectives, learning paradigms and challenges

B Ding, C Qin, R Zhao, T Luo, X Li… - Findings of the …, 2024 - aclanthology.org
In the rapidly evolving field of large language models (LLMs), data augmentation (DA) has
emerged as a pivotal technique for enhancing model performance by diversifying training …

A survey on automatic generation of figurative language: From rule-based systems to large language models

H Lai, M Nissim - ACM Computing Surveys, 2024 - dl.acm.org
Figurative language generation (FLG) is the task of reformulating a given text to include a
desired figure of speech, such as a hyperbole, a simile, and several others, while still being …

Longwriter: Unleashing 10,000+ word generation from long context llms

Y Bai, J Zhang, X Lv, L Zheng, S Zhu, L Hou… - arXiv preprint arXiv …, 2024 - arxiv.org
Current long context large language models (LLMs) can process inputs up to 100,000
tokens, yet struggle to generate outputs exceeding even a modest length of 2,000 words …

Patchview: LLM-Powered Worldbuilding with Generative Dust and Magnet Visualization

JJY Chung, M Kreminski - Proceedings of the 37th Annual ACM …, 2024 - dl.acm.org
Large language models (LLMs) can help writers build story worlds by generating world
elements, such as factions, characters, and locations. However, making sense of many …

Psychogat: A novel psychological measurement paradigm through interactive fiction games with llm agents

Q Yang, Z Wang, H Chen, S Wang, Y Pu… - Proceedings of the …, 2024 - aclanthology.org
Psychological measurement is essential for mental health, self-understanding, and personal
development. Traditional methods, such as self-report scales and psychologist interviews …

Map-neo: Highly capable and transparent bilingual large language model series

G Zhang, S Qu, J Liu, C Zhang, C Lin, CL Yu… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) have made great strides in recent years to achieve
unprecedented performance across different tasks. However, due to commercial interest, the …

Measuring psychological depth in language models

H Zhou, S Muppalla, Z Yildiz, M Kim… - Proceedings of the …, 2024 - aclanthology.org
Evaluations of creative stories generated by large language models (LLMs) often focus on
objective properties of the text, such as its style, coherence, and diversity. While these …

Navigating the Path of Writing: Outline-guided Text Generation with Large Language Models

Y Lee, S Ka, B Son, P Kang, J Kang - arXiv preprint arXiv:2404.13919, 2024 - arxiv.org
Large Language Models (LLMs) have significantly impacted the writing process, enabling
collaborative content creation and enhancing productivity. However, generating high-quality …

Small language models can outperform humans in short creative writing: A study comparing slms with humans and llms

G Marco, L Rello, J Gonzalo - arXiv preprint arXiv:2409.11547, 2024 - arxiv.org
In this paper, we evaluate the creative fiction writing abilities of a fine-tuned small language
model (SLM), BART Large, and compare its performance to humans and two large language …

Detoxifying Large Language Models via Knowledge Editing

M Wang, N Zhang, Z Xu, Z Xi, S Deng, Y Yao… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper investigates using knowledge editing techniques to detoxify Large Language
Models (LLMs). We construct a benchmark, SafeEdit, which covers nine unsafe categories …