Tongxuan Liu

According to our database, Tongxuan Liu authored at least 16 papers between 2020 and 2025.

Collaborative distances:

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

2025

Are LLMs Reliable Translators of Logical Reasoning Across Lexically Diversified Contexts?

Qingchuan Li, Jiatong Li, Zirui Liu, Mingyue Cheng, Yuting Zeng, Qi Liu, Tongxuan Liu

CoRR, June, 2025

HydraInfer: Hybrid Disaggregated Scheduling for Multimodal Large Language Model Serving.

Xianzhe Dong, Tongxuan Liu, Yuting Zeng, Liangyu Liu, Yang Liu, Siyu Wu, Yu Wu, Hailong Yang, Ke Zhang, Jing Li

CoRR, May, 2025

Arrow: Adaptive Scheduling Mechanisms for Disaggregated LLM Inference Architecture.

Yu Wu, Tongxuan Liu, Yuting Zeng, Siyu Wu, Jun Xiong, Xianzhe Dong, Hailong Yang, Ke Zhang, Jing Li

CoRR, May, 2025

TARAC: Mitigating Hallucination in LVLMs via Temporal Attention Real-time Accumulative Connection.

Chunzhao Xie, Tongxuan Liu, Lei Jiang, Yuting Zeng, jinrong Guo, Yunheng Shen, Weizhe Huang, Jing Li, Xiaohua Xu

CoRR, April, 2025

S²-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency.

Yuting Zeng, Weizhe Huang, Lei Jiang, Tongxuan Liu, Xitai Jin, Chen Tianying Tiana, Jing Li, Xiaohua Xu

CoRR, February, 2025

S²-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency.

Yuting Zeng, Weizhe Huang, Lei Jiang, Tongxuan Liu, Xitai Jin, Chen Tianying Tiana, Jing Li, Xiaohua Xu

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models.

Tongxuan Liu, Wenjiang Xu, Weizhe Huang, Yuting Zeng, Jiaxing Wang, Xingyu Wang, Hailong Yang, Jing Li

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

AtRec: Accelerating Recommendation Model Training on CPUs.

Siqi Wang, Tianyu Feng, Hailong Yang, Xin You, Bangduo Chen, Tongxuan Liu, Zhongzhi Luan, Depei Qian

IEEE Trans. Parallel Distributed Syst., June, 2024

FoPru: Focal Pruning for Efficient Large Vision-Language Models.

Lei Jiang, Weizhe Huang, Tongxuan Liu, Yuting Zeng, Jing Li, Lechao Cheng, Xiaohua Xu

CoRR, 2024

Leveraging LLMs for Hypothetical Deduction in Logical Inference: A Neuro-Symbolic Approach.

Qingchuan Li, Jiatong Li, Tongxuan Liu, Yuting Zeng, Mingyue Cheng, Weizhe Huang, Qi Liu

CoRR, 2024

Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models.

Tongxuan Liu, Wenjiang Xu, Weizhe Huang, Xingyu Wang, Jiaxing Wang, Hailong Yang, Jing Li

CoRR, 2024

GroupDebate: Enhancing the Efficiency of Multi-Agent Debate Using Group Discussion.

Tongxuan Liu, Xingyu Wang, Weizhe Huang, Wenjiang Xu, Yuting Zeng, Lei Jiang, Hailong Yang, Jing Li

CoRR, 2024

Minions: Accelerating Large Language Model Inference with Adaptive and Collective Speculative Decoding.

Siqi Wang, Hailong Yang, Xuezhu Wang, Tongxuan Liu, Pengbo Wang, Xuning Liang, Kejie Ma, Tianyu Feng, Xin You, Yongjun Bao, Yi Liu, Zhongzhi Luan, Depei Qian

CoRR, 2024

2021

MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions.

Wenqi Jiang, Zhenhao He, Shuai Zhang, Thomas B. Preußer, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters.

Wenqi Jiang, Zhenhao He, Shuai Zhang, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions.

Wenqi Jiang, Zhenhao He, Shuai Zhang, Thomas B. Preußer, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso

CoRR, 2020