Tianyang Liu

According to our database, Tianyang Liu authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

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, Yonghao Zhuang, Nilabjo Dey, Yuheng Zha, Yi Gu, Kun Zhou, Yuqi Wang, Yuan Li, Richard Fan, Jianshu She, Chengqian Gao, Abulhair Saparov, Haonan Li, Taylor W. Killian, Mikhail Yurochkin, Zhengzhong Liu, Eric P. Xing, Zhiting Hu

CoRR, June, 2025

Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models.

Yanbin Yin, Kun Zhou, Zhen Wang, Zhaoxiang Zhang, Yifei Shao, Shibo Hao, Yi Gu, Jieyuan Liu, Somanshu Singla, Tianyang Liu, Eric P. Xing, Zhengzhong Liu, Haojian Jin, Zhiting Hu

CoRR, May, 2025

Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs.

Dayu Yang, Tianyang Liu, Daoan Zhang, Antoine Simoulin, Xiaoyi Liu, Yuwei Cao, Zhaopu Teng, Xin Qian, Grey Yang, Jiebo Luo, Julian J. McAuley

CoRR, February, 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 J. McAuley, Li-jia Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

CoRR, 2024

StarCoder 2 and The Stack v2: The Next Generation.

Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian J. McAuley, Han Hu, Torsten Scholak, Sébastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, et al.

CoRR, 2024

Rethinking Tabular Data Understanding with Large Language Models.

Tianyang Liu, Fei Wang, Muhao Chen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems.

Tianyang Liu, Canwen Xu, Julian J. McAuley

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models.

Somanshu Singla, Zhen Wang, Tianyang Liu, Abdullah Ashfaq, Zhiting Hu, Eric P. Xing

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

RoseMatcher: Identifying the impact of user reviews on app updates.

Tianyang Liu, Chong Wang, Kun Huang, Peng Liang, Beiqi Zhang, Maya Daneva, Marten van Sinderen

Inf. Softw. Technol., 2023

Architecture Decisions in AI-based Systems Development: An Empirical Study.

Beiqi Zhang, Tianyang Liu, Peng Liang, Chong Wang, Mojtaba Shahin, Jiaxin Yu

Proceedings of the IEEE International Conference on Software Analysis, 2023

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings.

Shibo Hao, Tianyang Liu, Zhen Wang, Zhiting Hu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Identifying the Impact of User Reviews on App Updates: An Exploratory Study on App Release Notes.

Tianyang Liu, Chong Wang, Kun Huang, Peng Liang, Beiqi Zhang, Maya Daneva

CoRR, 2022

2021

The Role of User Reviews in App Updates: A Preliminary Investigation on App Release Notes.

Chong Wang, Tianyang Liu, Peng Liang, Maya Daneva, Marten van Sinderen

Proceedings of the 28th Asia-Pacific Software Engineering Conference, 2021