Liu, Tianqiao

8 publications

ICLR 2026 From Text to Talk: Audio-Language Model Needs Non-Autoregressive Joint Training Tianqiao Liu, Xueyi Li, Hao Wang, Haoxuan Li, Zhichao Chen, Weiqi Luo, Zitao Liu

ICLR 2026 Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models Eric Wang, Licheng Pan, Yuan Lu, Zi Ciu Chan, Tianqiao Liu, Shuting He, Zhixuan Chu, Qingsong Wen, Haoxuan Li, Zhouchen Lin

ICLR 2025 Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages Zui Chen, Tianqiao Liu, Tongqing, Mi Tian, Weiqi Luo, Zitao Liu

MLJ 2025 ArithmeticGPT: Empowering Small-Size Large Language Models with Advanced Arithmetic Skills Zitao Liu, Ying Zheng, Zhibo Yin, Jiahao Chen, Tianqiao Liu, Mi Tian, Weiqi Luo

ICML 2025 Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning Hao Wang, Zhichao Chen, Haotian Wang, Yanchao Tan, Licheng Pan, Tianqiao Liu, Xu Chen, Haoxuan Li, Zhouchen Lin

AAAI 2025 What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning Yiran Ma, Zui Chen, Tianqiao Liu, Mi Tian, Zhuo Liu, Zitao Liu, Weiqi Luo

NeurIPS 2023 Optimal Transport for Treatment Effect Estimation Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang

AAAI 2022 Self-Supervised Audio-and-Text Pre-Training with Extremely Low-Resource Parallel Data Yu Kang, Tianqiao Liu, Hang Li, Yang Hao, Wenbiao Ding