Li, Yingcong

16 publications

NeurIPS 2025 BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning Xuechen Zhang, Zijian Huang, Yingcong Li, Chenshun Ni, Jiasi Chen, Samet Oymak

AISTATS 2025 Provable Benefits of Task-Specific Prompts for In-Context Learning Xiangyu Chang, Yingcong Li, Muti Kara, Samet Oymak, Amit Roy-Chowdhury

NeurIPS 2025 When and How Unlabeled Data Provably Improve In-Context Learning Yingcong Li, Xiangyu Chang, Muti Kara, Xiaofeng Liu, Amit Roy-Chowdhury, Samet Oymak

ICMLW 2024 Can Mamba In-Context Learn Task Mixtures? Yingcong Li, Xupeng Wei, Haonan Zhao, Taigao Ma

ICMLW 2024 Fine-Grained Analysis of In-Context Linear Estimation Yingcong Li, Ankit Singh Rawat, Samet Oymak

NeurIPS 2024 Fine-Grained Analysis of In-Context Linear Estimation: Data, Architecture, and Beyond Yingcong Li, Ankit Singh Rawat, Samet Oymak

ICMLW 2024 Fine-Grained Analysis of In-Context Linear Estimation: Data, Architecture, and Beyond Yingcong Li, Ankit Singh Rawat, Samet Oymak

ICML 2024 From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers Muhammed Emrullah Ildiz, Yixiao Huang, Yingcong Li, Ankit Singh Rawat, Samet Oymak

AISTATS 2024 Mechanics of Next Token Prediction with Self-Attention Yingcong Li, Yixiao Huang, Muhammed E. Ildiz, Ankit Singh Rawat, Samet Oymak

NeurIPS 2023 Dissecting Chain-of-Thought: Compositionality Through In-Context Filtering and Learning Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris Papailiopoulos, Samet Oymak

NeurIPS 2023 Max-Margin Token Selection in Attention Mechanism Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak

AAAI 2023 Provable Pathways: Learning Multiple Tasks over Multiple Paths Yingcong Li, Samet Oymak

AAAI 2023 Stochastic Contextual Bandits with Long Horizon Rewards Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak

ICML 2023 Transformers as Algorithms: Generalization and Stability in In-Context Learning Yingcong Li, Muhammed Emrullah Ildiz, Dimitris Papailiopoulos, Samet Oymak

NeurIPSW 2023 Transformers as Support Vector Machines Davoud Ataee Tarzanagh, Yingcong Li, Christos Thrampoulidis, Samet Oymak

AAAI 2021 Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis