The Role of User Reviews in App Updates: A Preliminary Investigation on App Release Notes. - Chong Wang 004; Tianyang Liu 003; Peng Liang 001; Maya Daneva; Marten van Sinderen (APSEC, 2021)

Identifying the Impact of User Reviews on App Updates: An Exploratory Study on App Release Notes. - Tianyang Liu 003; Chong Wang 004; Kun Huang; Peng Liang 001; Beiqi Zhang; Maya Daneva (CoRR, 2022)

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings. - Shibo Hao; Tianyang Liu 003; Zhen Wang 041; Zhiting Hu (NeurIPS, 2023)

Architecture Decisions in AI-based Systems Development: An Empirical Study. - Beiqi Zhang; Tianyang Liu 003; Peng Liang 001; Chong Wang 004; Mojtaba Shahin; Jiaxin Yu (SANER, 2023)

RoseMatcher: Identifying the impact of user reviews on app updates. - Tianyang Liu 003; Chong Wang 004; Kun Huang; Peng Liang 001; Beiqi Zhang; Maya Daneva; Marten van Sinderen (Inf. Softw. Technol., 2023)

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models. - Somanshu Singla; Zhen Wang 041; Tianyang Liu 003; Abdullah Ashfaq; Zhiting Hu; Eric P. Xing (EMNLP, 2024)

RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems. - Tianyang Liu 003; Canwen Xu; Julian J. McAuley (ICLR, 2024)

Rethinking Tabular Data Understanding with Large Language Models. - Tianyang Liu 003; Fei Wang 060; Muhao Chen 001 (NAACL-HLT, 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 004; Yuxiang Wei 003; Tianyang Liu 003; Max Tian; et al. (CoRR, 2024)

LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models. - Shibo Hao; Yi Gu 002; Haotian Luo; Tianyang Liu 003; Xiyan Shao; Xinyuan Wang 010; Shuhua Xie; Haodi Ma; Adithya Samavedhi; Qiyue Gao; Zhen Wang 041; Zhiting Hu (CoRR, 2024)

Symbolic Representation for Any-to-Any Generative Tasks. - Jiaqi Chen; Xiaoye Zhu; Yue Wang; Tianyang Liu 003; Xinhui Chen; Ying Chen; Chak Tou Leong; Yifei Ke; Joseph Liu; Yiwen Yuan; Julian J. McAuley; Li-jia Li (CVPR, 2025)

Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs. - Dayu Yang; Tianyang Liu 003; Daoan Zhang; Antoine Simoulin; Xiaoyi Liu; Yuwei Cao; Zhaopu Teng; Xin Qian; Grey Yang; Jiebo Luo 001; Julian J. McAuley (CoRR, 2025)

Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models. - Yanbin Yin; Kun Zhou; Zhen Wang 041; Zhaoxiang Zhang 001; Yifei Shao; Shibo Hao; Yi Gu 002; Jieyuan Liu; Somanshu Singla; Tianyang Liu 003; Eric P. Xing; Zhengzhong Liu 001; et al. (CoRR, 2025)

Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective. - Zhoujun Cheng; Shibo Hao; Tianyang Liu 003; Fan Zhou; Yutao Xie; Feng Yao; Yuexin Bian; Yonghao Zhuang 001; Nilabjo Dey; Yuheng Zha; Yi Gu 002; Kun Zhou; et al. (CoRR, 2025)