3 papers
cs.LG2026
The Effect of Architecture During Continual Learning
Allyson Hahn, Krishnan Raghavan
Continual learning is a challenge for models with static architecture, as they fail to adapt to when data distributions evolve across tasks. We introduce a mathematical framework t…
cs.MA2025
Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents
Chih-Hsuan, Yang, Tanwi Mallick +5
Large Language Models (LLMs) in multi-agent systems (MAS) have shown promise for complex tasks, yet current training methods lack principled ways to connect system-level evaluation…
physics.flu-dyn2023
Forward Gradients for Data-Driven CFD Wall Modeling
Jan Hückelheim, Tadbhagya Kumar, Krishnan Raghavan +1
Computational Fluid Dynamics (CFD) is used in the design and optimization of gas turbines and many other industrial/ scientific applications. However, the practical use is often li…