CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs

CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs

5 August 2024

Xuan Xia

Sheng-Jun Huang

Papers citing "CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs"

4 / 4 papers shown

Title
Open Deep Search: Democratizing Search with Open-source Reasoning Agents Salaheddin Alzubi Creston Brooks Purva Chiniya Edoardo Contente Chiara von Gerlach ... Arda Kaz Windsor Nguyen Sewoong Oh Himanshu Tyagi Pramod Viswanath VLM ELM LRM 79 3 0 26 Mar 2025
Exploring the Mystery of Influential Data for Mathematical Reasoning Xinzhe Ni Yeyun Gong Zhibin Gou Yelong Shen Yujiu Yang Nan Duan Weizhu Chen 28 10 0 01 Apr 2024
Data Diversity Matters for Robust Instruction Tuning Alexander Bukharin Tuo Zhao 60 35 0 21 Nov 2023
Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning Ming Li Lichang Chen Jiuhai Chen Shwai He Heng-Chiao Huang Jiuxiang Gu Tianyi Zhou 74 10 0 18 Oct 2023