Lu, Yadong

10 publications

ICLR 2025 Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling Liliang Ren, Yang Liu, Yadong Lu, Yelong Shen, Chen Liang, Weizhu Chen

ICML 2025 Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale Rogerio Bonatti, Dan Zhao, Francesco Bonacci, Dillon Dupont, Sara Abdali, Yinheng Li, Yadong Lu, Justin Wagle, Kazuhito Koishida, Arthur Bucker, Lawrence Keunho Jang, Zheng Hui

ICMLW 2024 Adapting LLM Agents with Universal Feedback in Communication Kuan Wang, Yadong Lu, Michael Santacroce, Yeyun Gong, Chao Zhang, Yelong Shen

CVPR 2024 Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-Modal Language Models Shitian Zhao, Zhuowan Li, Yadong Lu, Alan Yuille, Yan Wang

TMLR 2024 Multi-LoRA Composition for Image Generation Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen

NeurIPSW 2024 Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale Rogerio Bonatti, Dan Zhao, Dillon Dupont, Sara Abdali, Yinheng Li, Yadong Lu, Justin Wagle, Kazuhito Koishida, Arthur Bucker, Lawrence Keunho Jang, Zheng Hui

NeurIPSW 2023 An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models Yadong Lu, Chunyuan Li, Haotian Liu, Jianwei Yang, Jianfeng Gao, Yelong Shen

NeurIPS 2023 In-Context Learning Unlocked for Diffusion Models Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang "Atlas" Wang, Mingyuan Zhou

IJCAI 2021 Deep Bucket Elimination Yasaman Razeghi, Kalev Kask, Yadong Lu, Pierre Baldi, Sakshi Agarwal, Rina Dechter

ECCV 2020 Differentiable Joint Pruning and Quantization for Hardware Efficiency Ying Wang, Yadong Lu, Tijmen Blankevoort