A bibliometric review of large language models research from 2017 to 2023

L Fan, L Li, Z Ma, S Lee, H Yu, L Hemphill - ACM Transactions on …, 2024 - dl.acm.org
Large language models (LLMs), such as OpenAI's Generative Pre-trained Transformer
(GPT), are a class of language models that have demonstrated outstanding performance …

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities

W Hua, K Zhu, L Li, L Fan, S Lin, M Jin, H Xue… - arXiv preprint arXiv …, 2024 - arxiv.org
This study intends to systematically disentangle pure logic reasoning and text understanding
by investigating the contrast across abstract and contextualized logical problems from a …

AI-LieDar: Examine the Trade-off Between Utility and Truthfulness in LLM Agents

Z Su, X Zhou, S Rangreji, A Kabra… - arXiv preprint arXiv …, 2024 - arxiv.org
To be safely and successfully deployed, LLMs must simultaneously satisfy truthfulness and
utility goals. Yet, often these two goals compete (eg, an AI agent assisting a used car …

Generative AI for Cel-Animation: A Survey

Y Tang, J Guo, P Liu, Z Wang, H Hua, JX Zhong… - arXiv preprint arXiv …, 2025 - arxiv.org
Traditional Celluloid (Cel) Animation production pipeline encompasses multiple essential
steps, including storyboarding, layout design, keyframe animation, inbetweening, and …

超越资源, 超越技术, 超越自我——用知识服务生产关系改革创新推动知识服务新质生产力发展

张晓林 - 农业图书情报学报, 2024 - nytsqb.aiijournal.com
[目的/意义] AI 技术为知识服务业带来了前所未有的挑战与机遇, 要求我们从技术, 组织机制,
服务模式等多个层面进行知识服务创新和改革, 以适应新兴知识生产力的发展 …