Liu, Tianyang

8 publications

AAAI 2025 Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection Jiaqi Chen, Xiaoye Zhu, Tianyang Liu, Ying Chen, Xinhui Chen, Yiwen Yuan, Chak Tou Leong, Zuchao Li, Tang Long, Lei Zhang, Chenyu Yan, Guanghao Mei, Jie Zhang, Lefei Zhang

NeurIPS 2025 Revisiting Reinforcement Learning for LLM Reasoning from a Cross-Domain Perspective Zhoujun Cheng, Shibo Hao, Tianyang Liu, Fan Zhou, Yutao Xie, Feng Yao, Yuexin Bian, Nilabjo Dey, Yonghao Zhuang, Yuheng Zha, Yi Gu, Kun Zhou, Yuqi Wang, Yuan Li, Richard Fan, Jianshu She, Chengqian Gao, Abulhair Saparov, Taylor W. Killian, Haonan Li, Mikhail Yurochkin, Eric P. Xing, Zhengzhong Liu, Zhiting Hu

CVPR 2025 Symbolic Representation for Any-to-Any Generative Tasks Jiaqi Chen, Xiaoye Zhu, Yue Wang, Tianyang Liu, Xinhui Chen, Ying Chen, Chak Tou Leong, Yifei Ke, Joseph Liu, Yiwen Yuan, Julian McAuley, Li-jia Li

CVPR 2024 Improving Bird's Eye View Semantic Segmentation by Task Decomposition Tianhao Zhao, Yongcan Chen, Yu Wu, Tianyang Liu, Bo Du, Peilun Xiao, Shi Qiu, Hongda Yang, Guozhen Li, Yi Yang, Yutian Lin

ICLRW 2024 LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models Shibo Hao, Yi Gu, Haotian Luo, Tianyang Liu, Xiyan Shao, Xinyuan Wang, Shuhua Xie, Haodi Ma, Adithya Samavedhi, Qiyue Gao, Zhen Wang, Zhiting Hu

ICLR 2024 RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems Tianyang Liu, Canwen Xu, Julian McAuley

AAAI 2023 SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem Hebin Liang, Yi Ma, Zilin Cao, Tianyang Liu, Fei Ni, Zhigang Li, Jianye Hao

NeurIPS 2023 ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings Shibo Hao, Tianyang Liu, Zhen Wang, Zhiting Hu