KDD workshop on Evaluation and Trustworthiness of Generative AI Models
Author:
Affiliation:
1. Amazon, Seattle, WA, USA
2. Amazon, Irvine, WA, USA
3. Univ. of Minnesota / Amazon, Santa Clara, CA, USA
4. Virginia Tech / Amazon, Arlington, VA, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3637528.3671481
Reference23 articles.
1. Ebtesam Almazrouei Hamza Alobeidli Abdulaziz Alshamsi Alessandro Cappelli Ruxandra Cojocaru Merouane Debbah Etienne Goffinet Daniel Heslow Julien Launay Quentin Malartic Badreddine Noune Baptiste Pannier and Guilherme Penedo. 2023. Falcon-40B: an open large language model with state-of-the-art performance. (2023).
2. Anthropic. 2023. Model Card and Evaluations for Claude Models. https://www-files.anthropic.com/production/images/Model-Card-Claude-2.pdf. Accessed: 2023--12-05.
3. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020) 1877--1901.
4. Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, et al . 2023. A survey on evaluation of large language models. ACM Transactions on Intelligent Systems and Technology (2023).
5. Hyung Won Chung Le Hou Shayne Longpre Barret Zoph Yi Tay William Fedus Eric Li Xuezhi Wang Mostafa Dehghani Siddhartha Brahma Albert Webson Shixiang Shane Gu Zhuyun Dai Mirac Suzgun Xinyun Chen Aakanksha Chowdhery Sharan Narang Gaurav Mishra Adams Yu Vincent Zhao Yanping Huang Andrew Dai Hongkun Yu Slav Petrov Ed H. Chi Jeff Dean Jacob Devlin Adam Roberts Denny Zhou Quoc V. Le and Jason Wei. 2022. Scaling Instruction-Finetuned Language Models. https://doi.org/10.48550/ARXIV.2210.11416
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