IMPROVE: Iterative Model Pipeline Refinement and Optimization Leveraging LLM Experts

25 February 2025

Papers citing "IMPROVE: Iterative Model Pipeline Refinement and Optimization Leveraging LLM Experts"

28 / 28 papers shown

Title
From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery Tianshi Zheng Zheye Deng Hong Ting Tsang Weiqi Wang Jiaxin Bai Zihao Wang Yangqiu Song LLMAG LM&Ro 46 0 0 19 May 2025
AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions Ziming Li Qianbo Zang David Ma Jiawei Guo Tuney Zheng ... Qingbin Liu Wanjun Zhong Wangchunshu Zhou Wenhao Huang Ge Zhang 50 18 0 27 Oct 2024
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML Patara Trirat Wonyong Jeong Sung Ju Hwang LLMAG 69 14 0 03 Oct 2024
Multi-Agent Software Development through Cross-Team Collaboration Zhuoyun Du Chen Qian Wei Liu Zihao Xie Yifei Wang Yufan Dang Weize Chen Cheng Yang LLMAG 59 21 0 13 Jun 2024
Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization Yu-Min Tseng Yu-Chao Huang Teng-Yun Hsiao Yu-Ching Hsu Chao-Wei Huang Jia-Yin Foo Yun-Nung Chen LLMAG 315 75 0 03 Jun 2024
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning Siyuan Guo Cheng Deng Ying Wen Hechang Chen Yi-Ju Chang Jun Wang ELM LM&Ro LLMAG AI4CE 49 31 0 27 Feb 2024
AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks Zekang Yang Wang Zeng Sheng Jin Chao Qian Ping Luo Wentao Liu MLLM VLM 88 10 0 23 Feb 2024
Simulating Human Strategic Behavior: Comparing Single and Multi-agent LLMs Karthik Sreedhar Lydia B. Chilton LLMAG 57 12 0 13 Feb 2024
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework Sirui Hong Mingchen Zhuge Jonathan Chen Xiawu Zheng Yuheng Cheng ... Liyang Zhou Chenyu Ran Lingfeng Xiao Chenglin Wu Jürgen Schmidhuber LLMAG AIFin 32 0 0 01 Aug 2023
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks Bill Yuchen Lin Yicheng Fu Karina Yang Faeze Brahman Shiyu Huang Chandra Bhagavatula Prithviraj Ammanabrolu Yejin Choi Xiang Ren LLMAG LM&Ro LRM 50 142 0 27 May 2023
GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model Caiyang Yu Xianggen Liu Wentao Feng Yun Liu Wentao Feng Deng Xiong Chenwei Tang Jiancheng Lv 39 2 0 09 May 2023
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering Noah Hollmann Samuel G. Müller Frank Hutter 55 57 0 05 May 2023
Reflexion: Language Agents with Verbal Reinforcement Learning Noah Shinn Federico Cassano Beck Labash A. Gopinath Karthik Narasimhan Shunyu Yao LLMAG KELM 37 1,190 0 20 Mar 2023
Visual Prompt Tuning Menglin Jia Luming Tang Bor-Chun Chen Claire Cardie Serge Belongie Bharath Hariharan Ser-Nam Lim VLM VPVLM 94 1,576 0 23 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 686 12,525 0 04 Mar 2022
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 148 5,328 0 07 Jul 2021
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation Samuel G. Müller Frank Hutter ViT MQ 34 284 0 18 Mar 2021
DADA: Differentiable Automatic Data Augmentation Yonggang Li Guosheng Hu Yongtao Wang Timothy M. Hospedales N. Robertson Yongxin Yang 49 109 0 08 Mar 2020
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 47 205 0 16 Nov 2019
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark Xiaohua Zhai J. Puigcerver Alexander Kolesnikov P. Ruyssen C. Riquelme ... Michael Tschannen Marcin Michalski Olivier Bousquet Sylvain Gelly N. Houlsby SSL 60 432 0 01 Oct 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 71 1,440 0 02 Aug 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 578 4,735 0 13 May 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 105 3,399 0 28 Mar 2019
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 157 1,077 0 04 Jul 2018
Neural Architecture Search with Bayesian Optimisation and Optimal Transport Kirthevasan Kandasamy Willie Neiswanger J. Schneider Barnabás Póczós Eric Xing 64 603 0 11 Feb 2018
Simple And Efficient Architecture Search for Convolutional Neural Networks T. Elsken J. H. Metzen Frank Hutter 52 231 0 13 Nov 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 238 9,687 0 25 Oct 2017
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 287 7,883 0 13 Jun 2012