Shiye Su

According to our database, Shiye Su authored at least 5 papers between 2023 and 2025.

Collaborative distances:

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

2025

Three Forms of Stochastic Injection for Improved Distribution-to-Distribution Generative Modeling.

Shiye Su, Yuhui Zhang, Linqi Zhou, Rajesh Ranganath, Serena Yeung-Levy

CoRR, October, 2025

OpenThoughts: Data Recipes for Reasoning Models.

Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Sprague, Ashima Suvarna, Benjamin Feuer, Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah M. Pratt, Vivek Ramanujan, Jon Saad-Falcon, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A. Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Ludwig Schmidt

CoRR, June, 2025

2024

Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts.

Shiye Su, Iulia Duta, Lucie Charlotte Magister, Pietro Liò

CoRR, 2024

Commute-Time-Optimised Graphs for GNNs.

Igor Sterner, Shiye Su, Petar Velickovic

CoRR, 2024

2023

ALMANACS: A Simulatability Benchmark for Language Model Explainability.

Edmund Mills, Shiye Su, Stuart Russell, Scott Emmons

CoRR, 2023