Tianyi Bai

According to our database, Tianyi Bai authored at least 27 papers between 2022 and 2026.

Collaborative distances:

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

2026

OpenWorldLib: A Unified Codebase and Definition of Advanced World Models.

DataFlow Team, Bohan Zeng, Daili Hua, Kaixin Zhu, Yifan Dai, Bozhou Li, Yuran Wang, Chengzhuo Tong, Yifan Yang, Mingkun Chang, Jianbin Zhao, Zhou Liu, Hao Liang, Xiaochen Ma, Ruichuan An, Junbo Niu, Zimo Meng, Tianyi Bai, Meiyi Qiang, Huanyao Zhang, Zhiyou Xiao, Tianyu Guo, Qinhan Yu, Runhao Zhao, Zhengpin Li, Xinyi Huang, Yisheng Pan, Yiwen Tang, Yang Shi, Yue Ding, Xinlong Chen, Hongcheng Gao, Minglei Shi, Jialong Wu, Zekun Wang, Yuanxing Zhang, Xintao Wang, Pengfei Wan, Yiren Song, Mike Zheng Shou, Wentao Zhang

CoRR, April, 2026

TAG: Thinking with Action Unit Grounding for Facial Expression Recognition.

Haobo Lin, Tianyi Bai, Jiajun Zhang, Xuanhao Chang, Sheng Lu, Fangming Gu, Zengjie Hu, Wentao Zhang

CoRR, February, 2026

Synthesizing Multimodal Geometry Datasets from Scratch and Enabling Visual Alignment via Plotting Code.

Haobo Lin, Tianyi Bai, Chen Chen, Jiajun Zhang, Bohan Zeng, Wentao Zhang, Binhang Yuan

CoRR, February, 2026

Research on World Models Is Not Merely Injecting World Knowledge into Specific Tasks.

Bohan Zeng, Kaixin Zhu, Daili Hua, Bozhou Li, Chengzhuo Tong, Yuran Wang, Xinyi Huang, Yifan Dai, Zixiang Zhang, Yifan Yang, Zhou Liu, Hao Liang, Xiaochen Ma, Ruichuan An, Tianyi Bai, Hongcheng Gao, Junbo Niu, Yang Shi, Xinlong Chen, Yue Ding, Minglei Shi, Kai Zeng, Yiwen Tang, Yuanxing Zhang, Pengfei Wan, Xintao Wang, Wentao Zhang

CoRR, February, 2026

From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction Tuning.

Jiajun Zhang, Zeyu Cui, Jiaxi Yang, Lei Zhang, Yuheng Jing, Zeyao Ma, Tianyi Bai, Zilei Wang, Qiang Liu, Liang Wang, Binyuan Hui, Junyang Lin

CoRR, January, 2026

2025

DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI.

Hao Liang, Xiaochen Ma, Zhou Liu, Zhen Hao Wong, Zhengyang Zhao, Zimo Meng, Runming He, Chengyu Shen, Qifeng Cai, Zhaoyang Han, Meiyi Qiang, Yalin Feng, Tianyi Bai, Zewei Pan, Ziyi Guo, Yizhen Jiang, Jingwen Deng, Qijie You, Peichao Lai, Tianyu Guo, Chi Hsu Tsai, Hengyi Feng, Rui Hu, Wenkai Yu, Junbo Niu, Bohan Zeng, Ruichuan An, Lu Ma, Jihao Huang, Yaowei Zheng, Conghui He, Linpeng Tang, Bin Cui, Weinan E, Wentao Zhang

CoRR, December, 2025

Are We Ready for RL in Text-to-3D Generation? A Progressive Investigation.

Yiwen Tang, Zoey Guo, Kaixin Zhu, Ray Zhang, Qizhi Chen, Dongzhi Jiang, Junli Liu, Bohan Zeng, Haoming Song, Delin Qu, Tianyi Bai, Dan Xu, Wentao Zhang, Bin Zhao

CoRR, December, 2025

From Pixels to Feelings: Aligning MLLMs with Human Cognitive Perception of Images.

Yiming Chen, Junlin Han, Tianyi Bai, Shengbang Tong, Filippos Kokkinos, Philip Torr

CoRR, November, 2025

LAST: LeArning to Think in Space and Time for Generalist Vision-Language Models.

Shuai Wang, Daoan Zhang, Tianyi Bai, Shitong Shao, Jiebo Luo, Jiaheng Wei

CoRR, November, 2025

VADE: Variance-Aware Dynamic Sampling via Online Sample-Level Difficulty Estimation for Multimodal RL.

Zengjie Hu, Jiantao Qiu, Tianyi Bai, Haojin Yang, Binhang Yuan, Qi Jing, Conghui He, Wentao Zhang

CoRR, November, 2025

UltraLLaDA: Scaling the Context Length to 128K for Diffusion Large Language Models.

Guangxin He, Shen Nie, Fengqi Zhu, Yuankang Zhao, Tianyi Bai, Ran Yan, Jie Fu, Chongxuan Li, Binhang Yuan

CoRR, October, 2025

Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification.

Tianyi Bai, Zengjie Hu, Fupeng Sun, Jiantao Qiu, Yizhen Jiang, Guangxin He, Bohan Zeng, Conghui He, Binhang Yuan, Wentao Zhang

CoRR, June, 2025

Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning.

Tianyi Bai, Yuxuan Fan, Jiantao Qiu, Fupeng Sun, Jiayi Song, Junlin Han, Zichen Liu, Conghui He, Wentao Zhang, Binhang Yuan

CoRR, June, 2025

TAH-QUANT: Effective Activation Quantization in Pipeline Parallelism over Slow Network.

Guangxin He, Yuan Cao, Yutong He, Tianyi Bai, Kun Yuan, Binhang Yuan

CoRR, June, 2025

Unsupervised Topic Models are Data Mixers for Pre-training Language Models.

Jiahui Peng, Xinlin Zhuang, Jiantao Qiu, Ren Ma, Jing Yu, Tianyi Bai, Conghui He

CoRR, February, 2025

Fast, Secure, Adaptable: LionsOS Design, Implementation and Performance.

Gernot Heiser, Ivan Velickovic, Peter Chubb, Alwin Joshy, Anuraag Ganesh, Bill Nguyen, Cheng Li, Courtney Darville, Guangtao Zhu, James Archer, Jingyao Zhou, Krishnan Winter, Lucy Parker, Szymon Duchniewicz, Tianyi Bai

CoRR, January, 2025

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models.

Chi Zhang, Huaping Zhong, Kuan Zhang, Chengliang Chai, Rui Wang, Xinlin Zhuang, Tianyi Bai, Jiantao Qiu, Lei Cao, Ju Fan, Ye Yuan, Guoren Wang, Conghui He

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models.

Junyan Ye, Baichuan Zhou, Zilong Huang, Junan Zhang, Tianyi Bai, Hengrui Kang, Jun He, Honglin Lin, Zihao Wang, Tong Wu, Zhizheng Wu, Yiping Chen, Dahua Lin, Conghui He, Weijia Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models.

Xinlin Zhuang, Jiahui Peng, Ren Ma, Yinfan Wang, Tianyi Bai, Xingjian Wei, Jiantao Qiu, Chi Zhang, Ying Qian, Conghui He

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration.

Tianyi Bai, Ling Yang, Zhen Hao Wong, Fupeng Sun, Xinlin Zhuang, Jiahui Peng, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios.

Baichuan Zhou, Haote Yang, Dairong Chen, Junyan Ye, Tianyi Bai, Jinhua Yu, Songyang Zhang, Dahua Lin, Conghui He, Weijia Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining.

Tianyi Bai, Ling Yang, Zhen Hao Wong, Jiahui Peng, Xinlin Zhuang, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He

CoRR, 2024

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models.

Chi Zhang, Huaping Zhong, Kuan Zhang, Chengliang Chai, Rui Wang, Xinlin Zhuang, Tianyi Bai, Jiantao Qiu, Lei Cao, Ye Yuan, Guoren Wang, Conghui He

CoRR, 2024

KeyVideoLLM: Towards Large-scale Video Keyframe Selection.

Hao Liang, Jiapeng Li, Tianyi Bai, Xijie Huang, Linzhuang Sun, Zhengren Wang, Conghui He, Bin Cui, Chong Chen, Wentao Zhang

CoRR, 2024

A Survey of Multimodal Large Language Model from A Data-centric Perspective.

Tianyi Bai, Hao Liang, Binwang Wan, Ling Yang, Bozhou Li, Yifan Wang, Bin Cui, Conghui He, Binhang Yuan, Wentao Zhang

CoRR, 2024

2023

Transfer Learning for Bayesian Optimization: A Survey.

Tianyi Bai, Yang Li, Yu Shen, Xinyi Zhang, Wentao Zhang, Bin Cui

CoRR, 2023

2022

Transfer Learning based Search Space Design for Hyperparameter Tuning.

Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022