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LCM-LoRA: A Universal Stable-Diffusion Acceleration Module (AI summary)
Simian Luo, Yiqin Tan, Suraj Patil, Daniel Gu, Patrick von Platen, Apolinário Passos, Longbo Huang, Jian Li, Hang Zhao
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Large Language Models for Mathematical Reasoning: Progresses and Challenges (AI summary)
Janice Ahn, Rishu Verma, Renze Lou, Di Liu, Rui Zhang, Wenpeng Yin
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Internet-augmented language models through few-shot prompting for open-domain question answering (AI summary)
Angeliki Lazaridou, Elena Gribovskaya, Wojciech Stokowiec, Nikolai Grigorev
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Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models (AI summary)
Wenhao Yu, Hongming Zhang, Xiaoman Pan, Kaixin Ma, Hongwei Wang, Dong Yu
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Corrective Retrieval Augmented Generation (AI summary)
Shi-Qi Yan, Jia-Chen Gu, Yun Zhu, Zhen-Hua Ling
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Proximal Policy Optimization Algorithms (AI summary)
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, Oleg Klimov
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LLaMA: Open and Efficient Foundation Language Models (AI summary)
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, Guillaume Lample
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MM-LLMs: Recent Advances in MultiModal Large Language Models (AI summary)
Duzhen Zhang, Yahan Yu, Chenxing Li, Jiahua Dong, Dan Su, Chenhui Chu, Dong Yu
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Precise Zero-Shot Dense Retrieval without Relevance Labels (AI summary)
Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan
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Training language models to follow instructions with human feedback (AI summary)
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, Ryan Lowe
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