ML and AI papers

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)

Check Me If You Can: Detecting ChatGPT-Generated Academic Writing using CheckGPT (AI summary)

Zeyan Liu, Zijun Yao, Fengjun Li, Bo Luo

Focused Transformer: Contrastive Training for Context Scaling (AI summary)

Szymon Tworkowski, Konrad Staniszewski, Mikołaj Pacek, Yuhuai Wu, Henryk Michalewski, Piotr Miłoś

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models (AI Summary)

Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Wei Wei, Tingbo Hou, Yael Pritch, Neal Wadhwa, Michael Rubinstein, Kfir Aberman

Large Language Models as General Pattern Machines (AI summary)

Suvir Mirchandani, Fei Xia, Pete Florence, Brian Ichter, Danny Driess, Montserrat Gonzalez Arenas, Kanishka Rao, Dorsa Sadigh, Andy Zeng