English
Russian
French
Spanish
German
Japanese
korean
PortugueseNews
Ablation Study Confirms Necessity of Dynamic Rates for RECKONING Performance
This article presents an ablation study confirming that an adaptive, per-step-per-layer learning rate is essential for the RECKONI...
Technical Setup for RECKONING: Inner Loop Gradient Steps, Learning Rates, and Ha...
This article outlines the implementation details for RECKONING, which uses a GPT-2-base model and runs on NVIDIA A100 GPUs.
Meta-Learning for Reasoning: Summary of RECKONING's Superior Performance and Fut...
This conclusion summarizes RECKONING, a novel bi-level learning framework that robustly solves multi-hop reasoning problems by enc...
Distractor Robustness: RECKONING Significantly Outperforms FT-ICR in Reasoning O...
The study confirms that RECKONING's ability to disentangle relevant knowledge is maintained even when scaling the model size using...
Generalization and Robustness: RECKONING Excels on Longer Reasoning Chains Unsee...
RECKONING demonstrates superior generalization capacity to longer reasoning chains unseen during training
The Human Algorithm: Why the Internet Feels Repetitive—And How Real Writers Can...
The internet is losing its originality, says John Defterios. He says the internet's incentive structure has shifted from search to...
When Desire Is Designed: The Hidden Politics of the Feed
The Feed as the Machine of Desire is a new way to look at the world. It doesn't command, it seduces, enlisting our willing partici...
