Large Language Models as Optimizers (AI Summary)
Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V Le, Denny Zhou, Xinyun Chen
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Universal and Transferable Adversarial Attacks on Aligned Language Models (AI summary)
Andy Zou, Zifan Wang, Nicholas Carlini, Milad Nasr, J. Zico Kolter, Matt Fredrikson
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Exploiting Novel GPT-4 APIs (AI summary)
Kellin Pelrine, Mohammad Taufeeque, Michał Zając, Euan McLean, Adam Gleave
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Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents (AI summary)
Zhuosheng Zhang, Yao Yao, Aston Zhang, Xiangru Tang, Xinbei Ma, Zhiwei He, Yiming Wang, Mark Gerstein, Rui Wang, Gongshen Liu, Hai Zhao
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Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification (AI summary)
Aojun Zhou, Ke Wang, Zimu Lu, Weikang Shi, Sichun Luo, Zipeng Qin, Shaoqing Lu, Anya Jia, Linqi Song, Mingjie Zhan, Hongsheng Li
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Future of Work Report, AI at Work (AI summary)
Graph of Thoughts: Solving Elaborate Problems with Large Language Models (AI Summary)
Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Michał Podstawski, Hubert Niewiadomski, Piotr Nyczyk, Torsten Hoefler
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Bayesian Flow Networks (AI Summary)
Alex Graves, Rupesh Kumar Srivastava, Timothy Atkinson, Faustino Gomez
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Giraffe: Adventures in Expanding Context Lengths in LLMs (AI summary)
Arka Pal, Deep Karkhanis, Manley Roberts, Samuel Dooley, Arvind Sundararajan, Siddartha Naidu
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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
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