1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2026
OS-Pruner: Pruning Chains-of-Thought of Reasoning Models via Optimal Stopping
Mohammed Ehab, Aymane El Gadarri, Vivek F. Farias +2
Large Language Models (LLMs) have achieved remarkable success in complex reasoning tasks through Chain-of-Thought (CoT) prompting. However, these models often exhibit "computationa…
cs.LG2024★ 1 cited
CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models
Abhishek Singh, Gauri Gupta, Ritvik Kapila +5
Federated Learning (FL) enables collaborative optimization of machine learning models across decentralized data by aggregating model parameters. Our approach extends this concept b…