5 citations · 5 across the 3 of their papers we have counts for
4 papers
AID: A Framework for AI Infrastructure Dynamics
Abi Aryan
A useful model of AI inference infrastructure must specify the system state, the information available to an observer, and the decisions the model is intended to support. We introd…
AbideGym: Turning Static RL Worlds into Adaptive Challenges
Abi Aryan, Zac Liu, Aaron Childress
Agents trained with reinforcement learning often develop brittle policies that fail when dynamics shift, a problem amplified by static benchmarks. AbideGym, a dynamic MiniGrid wrap…
Causal Reflection with Language Models
Abi Aryan, Zac Liu
While LLMs exhibit impressive fluency and factual recall, they struggle with robust causal reasoning, often relying on spurious correlations and brittle patterns. Similarly, tradit…
The Costly Dilemma: Generalization, Evaluation and Cost-Optimal Deployment of Large Language Models
Abi Aryan, Aakash Kumar Nain, Andrew McMahon +2
When deploying machine learning models in production for any product/application, there are three properties that are commonly desired. First, the models should be generalizable, i…