4 papers
SibylSense: Adaptive Rubric Learning via Memory Tuning and Adversarial Probing
Yifei Xu, Guilherme Potje, Shivam Shandilya +9
Designing aligned and robust rewards for open-ended generation remains a key barrier to RL post-training. Rubrics provide structured, interpretable supervision, but scaling rubric…
Vortex: Hosting ML Inference and Knowledge Retrieval Services With Tight Latency and Throughput Requirements
Yuting Yang, Tiancheng Yuan, Jamal Hashim +6
There is growing interest in deploying ML inference and knowledge retrieval as services that could support both interactive queries by end users and more demanding request flows th…
AI-Based Teat Shape and Skin Condition Prediction for Dairy Management
Yuexing Hao, Tiancheng Yuan, Yuting Yang +4
Dairy owners spend significant effort to keep their animals healthy. There is good reason to hope that technologies such as computer vision and artificial intelligence (AI) could r…
Compass: A Decentralized Scheduler for Latency-Sensitive ML Workflows
Yuting Yang, Andrea Merlina, Weijia Song +3
We consider ML query processing in distributed systems where GPU-enabled workers coordinate to execute complex queries: a computing style often seen in applications that interact w…