Pinned

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training (AI summary)

Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Floris Weers, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang

Read more

AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems (AI summary)

Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang Zhu, Chi Wang, Saleema Amershi

Read more

Agentic Retrieval-Augmented Generation for Time Series Analysis (AI summary)

Chidaksh Ravuru, Sagar Srinivas Sakhinana, Venkataramana Runkana

Read more

Diffusion Models Are Real-Time Game Engines (AI summary)

Dani Valevski, Yaniv Leviathan, Moab Arar, Shlomi Fruchter

Read more

Challenges and Responses in the Practice of Large Language Models (AI summary)

Hongyin Zhu

Read more

PEDAL: Enhancing Greedy Decoding with Large Language Models using Diverse Exemplars (AI summary)

Sumanth Prabhu

Read more

Controllable Text Generation for Large Language Models: A Survey (AI summary)

Xun Liang, Hanyu Wang, Yezhaohui Wang, Shichao Song, Jiawei Yang, Simin Niu, Jie Hu, Dan Liu, Shunyu Yao, Feiyu Xiong, Zhiyu Li

Read more

MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding (AI summary)

Jian Chen, Vashisth Tiwari, Ranajoy Sadhukhan, Zhuoming Chen, Jinyuan Shi, Ian En-Hsu Yen, Beidi Chen

Read more

Graph Retrieval-Augmented Generation: A Survey (AI summary)

Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang, Siliang Tang

Read more

Enhancing Robustness in Large Language Models: Prompting for Mitigating the Impact of Irrelevant Information (AI summary)

Ming Jiang, Tingting Huang, Biao Guo, Yao Lu, Feng Zhang

Read more
×