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

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

Weijie Lv
Xuan Xia
Sheng-Jun Huang
    ALM
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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
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
81
3
0
26 Mar 2025
Exploring the Mystery of Influential Data for Mathematical Reasoning
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
Data Diversity Matters for Robust Instruction Tuning
Alexander Bukharin
Tuo Zhao
65
35
0
21 Nov 2023
Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning
Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning
Ming Li
Lichang Chen
Jiuhai Chen
Shwai He
Heng-Chiao Huang
Jiuxiang Gu
Tianyi Zhou
77
10
0
18 Oct 2023