ML and AI papers

Code Llama: Open Foundation Models for Code (AI summary)

Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, Artyom Kozhevnikov, Ivan Evtimov, Joanna Bitton, Manish Bhatt, Cristian Canton Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Défossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, Gabriel Synnaeve

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs (AI Summary)

Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun

How Is ChatGPT's Behavior Changing over Time? (AI summary)

Lingjiao Chen, Matei Zaharia, James Zou

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback (AI summary)

Stephen Casper, Xander Davies

Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding (AI Summary)

Xuefei Ning, Zinan Lin, Zixuan Zhou, Huazhong Yang, Yu Wang

Measuring Faithfulness in Chain-of-Thought Reasoning (AI summary)

Tamera Lanham, Anna Chen, Ansh Radhakrishnan, Benoit Steiner, Carson Denison, Danny Hernandez, Dustin Li, Esin Durmus, Evan Hubinger, Jackson Kernion, Kamile Lukosiute, Karina Nguyen, Newton Cheng, Nicholas Joseph, Nicholas Schiefer, Oliver Rausch, Robin Larson, Sam Mccandlish, Sandipan Kundu, Saurav Kadavath, Shannon Yang, Thomas Henighan, Timothy Maxwell, Timothy Telleen-Lawton, Tristan Hume, Zac Hatfield-Dodds, Jared Kaplan, Jan Brauner, Samuel R Bowman, Ethan Perez,

Evaluating the Moral Beliefs Encoded in LLMs (AI summary)

Nino Scherrer , Claudia Shi, Amir Feder, David M Blei

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning (AI Summary)

Yuwei Guo, Ceyuan Yang, Anyi Rao, Yaohui Wang, Yu Qiao, Dahua Lin, Bo Dai

Generative Pretraining in Multimodality (AI summary)

Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang

Secrets of RLHF in Large Language Models Part I: PPO (AI summary)