eager execution 1large language model training 1memory optimization 1online profiling 1swap-based management 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.DC2026
SmartSwap: Swap-Based Memory Optimization for LLM Training under Varying Operator Sequences
Zibo Wang, Yuhang Zhou, Zhibin Wang +13
The paper introduces SmartSwap, a swap‑based memory optimization framework that adapts to varying operator sequences in eager‑mode training of large language models, using a lightw…
cs.LG2026
Data-Centric Interpretability for LLM-based Multi-Agent Reinforcement Learning
John Yan, Michael Yu, Yuqi Sun +3
Large language models (LLMs) are increasingly trained in complex Reinforcement Learning, multi-agent environments, making it difficult to understand how behavior changes over train…
cs.HC2025
SRLAgent: Enhancing Self-Regulated Learning Skills through Gamification and LLM Assistance
Wentao Ge, Yuqing Sun, Ziyan Wang +5
Self-regulated learning (SRL) is crucial for college students navigating increased academic demands and independence. Insufficient SRL skills can lead to disorganized study habits,…