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Research#LLM🔬 ResearchAnalyzed: Jan 10, 2026 13:35

Self-Reflective Pruning Improves Reasoning in Language Models

Published:Dec 1, 2025 20:27
1 min read
ArXiv

Analysis

This research introduces a novel pruning technique for language models that focuses on self-reflection, potentially leading to more efficient and accurate reasoning. The paper's contribution lies in its approach to structured pruning, allowing for more targeted optimization of reasoning capabilities.
Reference

“The research focuses on self-reflective structured pruning.”

PermalinkArXiv
Research#SNN👥 CommunityAnalyzed: Jan 10, 2026 16:33

Event-Based Backpropagation for Exact Gradients in Spiking Neural Networks

Published:Jun 2, 2021 04:17
1 min read
Hacker News

Analysis

This article discusses a novel approach to training Spiking Neural Networks (SNNs), leveraging event-based backpropagation. The method aims to improve the accuracy and efficiency of gradient calculations in SNNs, which is crucial for their practical application.
Reference

“Event-based backpropagation for exact gradients in spiking neural networks”

PermalinkHacker News