White-Box Transformers via Sparse Rate Reduction. - Yaodong Yu; Sam Buchanan; Druv Pai; Tianzhe Chu; Ziyang Wu; Shengbang Tong; Benjamin D. Haeffele; Yi Ma 001 (NeurIPS, 2023)

White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? - Yaodong Yu; Sam Buchanan; Druv Pai; Tianzhe Chu; Ziyang Wu; Shengbang Tong; Hao Bai; Yuexiang Zhai; Benjamin D. Haeffele; Yi Ma 001 (CoRR, 2023)

Emergence of Segmentation with Minimalistic White-Box Transformers. - Yaodong Yu; Tianzhe Chu; Shengbang Tong; Ziyang Wu; Druv Pai; Sam Buchanan; Yi Ma 001 (CPAL, 2024)

Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models. - Tianzhe Chu; Shengbang Tong; Tianjiao Ding; Xili Dai; Benjamin David Haeffele; René Vidal; Yi Ma 001 (ICLR, 2024)

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training. - Tianzhe Chu; Yuexiang Zhai; Jihan Yang; Shengbang Tong; Saining Xie; Dale Schuurmans; Quoc V. Le; Sergey Levine; Yi Ma 001 (CoRR, 2025)

Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs. - Chun-Hsiao Yeh; Chenyu Wang; Shengbang Tong; Ta Ying Cheng; Ruoyu Wang 014; Tianzhe Chu; Yuexiang Zhai; Yubei Chen; Shenghua Gao; Yi Ma 001 (CoRR, 2025)