Tianyi Bai

According to our database, Tianyi Bai authored at least 16 papers between 2022 and 2025.

Collaborative distances:

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

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 AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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