most citedEfficient LLMs with AMP: Attention Heads and MLP Pruning

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cs.LG2025

Mathematical Framework for Custom Reward Functions in Job Application Evaluation using Reinforcement Learning

Shreyansh Jain, Madhav Singhvi, Shreya Rahul Jain +4

Most of the traditional Applicant Tracking Systems (ATS) depend on strict matching using keywords, where candidates that are highly qualified are many times disqualified because of…

cs.LG2025★ 1 cited

Efficient LLMs with AMP: Attention Heads and MLP Pruning

Leandro Giusti Mugnaini, Bruno Lopes Yamamoto, Lucas Lauton de Alcantara +5

Deep learning drives a new wave in computing systems and triggers the automation of increasingly complex problems. In particular, Large Language Models (LLMs) have significantly ad…