5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2025
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…
cs.LG2025
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…
cs.CL2023★ 5 cited
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…