Xin Liu

According to our database, Xin Liu authored at least 16 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics?

Jinming Li, Yichen Zhu, Zhiyuan Xu, Jindong Gu, Minjie Zhu, Xin Liu, Ning Liu, Yaxin Peng, Feifei Feng, Jian Tang

CoRR, 2024

FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusion.

Li-Wen Chang, Wenlei Bao, Qi Hou, Chengquan Jiang, Ningxin Zheng, Yinmin Zhong, Xuanrun Zhang, Zuquan Song, Ziheng Jiang, Haibin Lin, Xin Jin, Xin Liu

CoRR, 2024

RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation.

Chao Jin, Zili Zhang, Xuanlin Jiang, Fangyue Liu, Xin Liu, Xuanzhe Liu, Xin Jin

CoRR, 2024

Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models.

Minjie Zhu, Yichen Zhu, Xin Liu, Ning Liu, Zhiyuan Xu, Chaomin Shen, Yaxin Peng, Zhicai Ou, Feifei Feng, Jian Tang

CoRR, 2024

MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs.

Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Safety of Multimodal Large Language Models on Images and Text.

Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, Yu Qiao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models.

Xin Liu, Yichen Zhu, Jindong Gu, Yunshi Lan, Chao Yang, Yu Qiao

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Query-Relevant Images Jailbreak Large Multi-Modal Models.

Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, Yu Qiao

CoRR, 2023

MuxFlow: Efficient and Safe GPU Sharing in Large-Scale Production Deep Learning Clusters.

Yihao Zhao, Xin Liu, Shufan Liu, Xiang Li, Yibo Zhu, Gang Huang, Xuanzhe Liu, Xin Jin

CoRR, 2023

vMF Loss: Exploring a Scattered Intra-class Hypersphere for Few-Shot Learning.

Xin Liu, Shijing Wang, Kairui Zhou, Yilin Lyu, Mingyang Song, Liping Jing, Tieyong Zeng, Jian Yu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Not All Tasks Are Equal: A Parameter-Efficient Task Reweighting Method for Few-Shot Learning.

Xin Liu, Yilin Lyu, Liping Jing, Tieyong Zeng, Jian Yu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts.

Yunshi Lan, Xiang Li, Xin Liu, Yang Li, Wei Qin, Weining Qian

Proceedings of the 31st ACM International Conference on Multimedia, 2023

ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs.

Yujia Zhai, Chengquan Jiang, Leyuan Wang, Xiaoying Jia, Shang Zhang, Zizhong Chen, Xin Liu, Yibo Zhu

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Recognizable Information Bottleneck.

Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Adaptive distribution calibration for few-shot learning via optimal transport.

Xin Liu, Kairui Zhou, Pengbo Yang, Liping Jing, Jian Yu

Inf. Sci., 2022

Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation.

Yichen Zhu, Ning Liu, Zhiyuan Xu, Xin Liu, Weibin Meng, Louis Wang, Zhicai Ou, Jian Tang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022