George Michailidis

2 papers indexed

arxivcs.AIcs.CLcs.LG2026-07-19

Otap:Structure-Aware Optimal Transport for Evaluating Planning and Execution in Agent Trajectories

Babak Barazandeh, Subhabrata Majumdar, George Michailidis

Large language model agents solve tasks by generating trajectories that interleave planning, tool calls, and intermediate results. Current evaluation metrics reduce such a trajectory to a binary success flag or compare it against a reference by exact matching. A success flag cann…

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arxivcs.LGcs.AIcs.CL2026-07-06

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing

Babak Barazandeh, Subhabrata Majumdar, Vinay Prithyani, George Michailidis

Large Language Models (LLMs) and high-dimensional perception networks increasingly rely on parameter-efficient fine-tuning (PEFT) to adapt to diverse operational contexts. However, standard methods like LoRA are structurally limited by a monolithic bottleneck, making them highly…

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