M 'elange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity. - Tyler Griggs; Xiaoxuan Liu; Jiaxiang Yu; Doyoung Kim; Wei-Lin Chiang; Alvin Cheung; Ion Stoica (CoRR, 2024)

MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs. - Shiyi Cao; Shu Liu; Tyler Griggs; Peter Schafhalter; Xiaoxuan Liu; Ying Sheng 007; Joseph E. Gonzalez; Matei Zaharia; Ion Stoica (ASPLOS (1), 2025)

SkyServe: Serving AI Models across Regions and Clouds with Spot Instances. - Ziming Mao; Tian Xia; Zhanghao Wu; Wei-Lin Chiang; Tyler Griggs; Romil Bhardwaj; Zongheng Yang; Scott Shenker; Ion Stoica (EuroSys, 2025)

LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters! - Dacheng Li; Shiyi Cao; Tyler Griggs; Shu Liu; Xiangxi Mo; Eric Tang; Sumanth Hegde; Kourosh Hakhamaneshi; Shishir G. Patil; Matei Zaharia; Joseph E. Gonzalez; Ion Stoica (CoRR, 2025)

Reasoning Models Can Be Effective Without Thinking. - Wenjie Ma; Jingxuan He; Charlie Snell; Tyler Griggs; Sewon Min; Matei Zaharia (CoRR, 2025)