Crud-rag: A comprehensive chinese benchmark for retrieval-augmented generation of large language models

Y Lyu, Z Li, S Niu, F Xiong, B Tang, W Wang… - ACM Transactions on …, 2024 - dl.acm.org
Retrieval-Augmented Generation (RAG) is a technique that enhances the capabilities of
large language models (LLMs) by incorporating external knowledge sources. This method …

Artificial intelligence in mental health: Innovations brought by artificial intelligence techniques in stress detection and interventions of building resilience

F Liu, Q Ju, Q Zheng, Y Peng - Current Opinion in Behavioral Sciences, 2024 - Elsevier
Highlights•AI enables early detection and large-scale monitoring of stress-related
issues.•LLM improves stress detection using advanced natural language processing …

Emotionqueen: A benchmark for evaluating empathy of large language models

Y Chen, H Wang, S Yan, S Liu, Y Li, Y Zhao… - arXiv preprint arXiv …, 2024 - arxiv.org
Emotional intelligence in large language models (LLMs) is of great importance in Natural
Language Processing. However, the previous research mainly focus on basic sentiment …

Xmecap: Meme caption generation with sub-image adaptability

Y Chen, S Yan, Z Zhu, Z Li, Y Xiao - Proceedings of the 32nd ACM …, 2024 - dl.acm.org
Humor, deeply rooted in societal meanings and cultural details, poses a unique challenge
for machines. While advances have been made in natural language processing, real-world …

[PDF][PDF] Enhancing accuracy in large language models through dynamic real-time information injection

Q Ouyang, S Wang, B Wang - 2023 - preprints.org
This study presents a novel approach to enhance Large Language Models (LLMs) like
Alpaca by dynamically integrating real-time information. This method addresses the issue of …

[HTML][HTML] Shedding light on ai in radiology: A systematic review and taxonomy of eye gaze-driven interpretability in deep learning

J Neves, C Hsieh, IB Nobre, SC Sousa… - European Journal of …, 2024 - Elsevier
X-ray imaging plays a crucial role in diagnostic medicine. Yet, a significant portion of the
global population lacks access to this essential technology due to a shortage of trained …

Enhancing llm-based feedback: Insights from intelligent tutoring systems and the learning sciences

J Stamper, R Xiao, X Hou - International Conference on Artificial …, 2024 - Springer
Abstract The field of Artificial Intelligence in Education (AIED) focuses on the intersection of
technology, education, and psychology, placing a strong emphasis on supporting learners' …

Mapo: Boosting large language model performance with model-adaptive prompt optimization

Y Chen, Z Wen, G Fan, Z Chen, W Wu, D Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
Prompt engineering, as an efficient and effective way to leverage Large Language Models
(LLM), has drawn a lot of attention from the research community. The existing research …

Hotvcom: Generating buzzworthy comments for videos

Y Chen, Y Qian, S Yan, J Jia, Z Li, Y Xiao, X Li… - arXiv preprint arXiv …, 2024 - arxiv.org
In the era of social media video platforms, popular``hot-comments''play a crucial role in
attracting user impressions of short-form videos, making them vital for marketing and …

[PDF][PDF] Developing a framework for auditing large language models using human-in-the-loop

M Amirizaniani, J Yao, A Lavergne… - arXiv preprint arXiv …, 2024 - researchgate.net
* Work does not relate to position at Amazon. Authors' addresses: Maryam Amirizaniani,
amaryam@ uw. edu, University of Washington, Seattle, WA, USA; Jihan Yao, jihany2@ uw …