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Machine Learning (ML) research is spread through academic papers featuring rich multimodal content, including text, diagrams, and tabular results.
Auto-keras: An efficient neural architecture search system. In Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining . 1946–1956
Haifeng Jin, Qingquan Song, and Xia Hu. 2019 · 1956
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On learning algorithm selection for classification
Shawkat Ali and Kate A Smith. 2006 · 2006
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Random search for hyper-parameter optimization
James Bergstra and Yoshua Bengio. 2012 · 2012
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Google automl: cloud vision
Ekaba Bisong and Ekaba Bisong. 2019 · 2019
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Amazon SageMaker Autopilot: a white box AutoML solution at scale. In Proceedings of the fourth international workshop on data management for end-to-end machine learning . 1–7
Piali Das, Nikita Ivkin, Tanya Bansal, Laurence Rouesnel, Philip Gautier, Zohar Karnin, Leo Dirac, Lakshmi Ramakrishnan, Andre Perunicic, Iaroslav Shcherbatyi, et al · 2020
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The eos decision and length extrapolation
Benjamin Newman, John Hewitt, Percy Liang, and Christopher D Manning. 2020 · 2020
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Program synthesis with large language models
Jacob Austin, Augustus Odena, Maxwell Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie Cai, Michael Terry, Quoc Le, et al · 2021
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Codexglue: A machine learning benchmark dataset for code understanding and generation
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang, Duyu Tang, et al · 2021
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Exploring length generalization in large language models
Cem Anil, Yuhuai Wu, Anders Andreassen, Aitor Lewkowycz, Vedant Misra, Vinay Ramasesh, Ambrose Slone, Guy Gur-Ari, Ethan Dyer, and Behnam Neyshabur. 2022 · 2022
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Coderl: Mastering code generation through pretrained models and deep reinforcement learning
Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, and Steven Chu Hong Hoi. 2022 · 2022
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Identifying potential breakthrough research: A machine learning method using scientific papers and Twitter data
Xin Li, Yang Wen, Jiaojiao Jiang, Tugrul Daim, and Lucheng Huang. 2022 · 2022
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Codegen: An open large language model for code with multi-turn program synthesis
Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, and Caiming Xiong. 2022 · 2022
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Is AI leading to a reproducibility crisis in science?
Philip Ball. 2023 · 2023
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Nougat: Neural optical understanding for academic documents
Lukas Blecher, Guillem Cucurull, Thomas Scialom, and Robert Stojnic. 2023 · 2023
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Autoagents: A framework for automatic agent generation
Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Börje F Karlsson, Jie Fu, and Yemin Shi. 2023 · 2023
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Agentcoder: Multi-agent-based code generation with iterative testing and optimisation
Dong Huang, Jie M Zhang, Michael Luck, Qingwen Bu, Yuhao Qing, and Heming Cui. 2023 · 2023
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Survey of hallucination in natural language generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Ye Jin Bang, Andrea Madotto, and Pascale Fung. 2023 · 2023
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Convolutional neural networks do work with pre-defined filters. In 2023 International Joint Conference on Neural Networks (IJCNN) . IEEE, 1–8
Christoph Linse, Erhardt Barth, and Thomas Martinetz. 2023 · 2023
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Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation
Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, and Lingming Zhang. 2023 · 2023
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Communicative agents for software development
Chen Qian, Xin Cong, Cheng Yang, Weize Chen, Yusheng Su, Juyuan Xu, Zhiyuan Liu, and Maosong Sun. 2023 · 2023
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Codet5+: Open code large language models for code understanding and generation
Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi DQ Bui, Junnan Li, and Steven CH Hoi. 2023 · 2023
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Autogen: Enabling next-gen llm applications via multi-agent conversation
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Jiale Liu, et al · 2023
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Deep Learning Based Code Generation Methods: Literature Review
Zezhou Yang, Sirong Chen, Cuiyun Gao, Zhenhao Li, Ge Li, and Michael Lyu. 2023 · 2023
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Planning with large language models for code generation
Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B Tenenbaum, and Chuang Gan. 2023 · 2023
Cited alongside, same era.
Judging llm-as-a-judge with mt-bench and chatbot arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric Xing, et al · 2023
Cited alongside, same era.
Analyzing the evolution of machine learning integration in educational research: a bibliometric perspective
Musa Adekunle Ayanwale, Rethabile Rosemary Molefi, and Saheed Oyeniran. 2024 · 2024
Cited alongside, same era.
KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
Rambod Azimi, Rishav Rishav, Marek Teichmann, and Samira Ebrahimi Kahou. 2024 · 2024
Cited alongside, same era.
Mobilevlm v2: Faster and stronger baseline for vision language model
“Paper, Meet Code”: A Deep Learning Approach to Linking Scholarly Articles with GitHub Repositories
Prahyat Puangjaktha, Morakot Choetkiertikul, and Suppawong Tuarob. 2024 · 2024
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A systematic review of hyperparameter optimization techniques in Convolutional Neural Networks
Mohaimenul Azam Khan Raiaan, Sadman Sakib, Nur Mohammad Fahad, Abdullah Al Mamun, Md Anisur Rahman, Swakkhar Shatabda, and Md Saddam Hossain Mukta. 2024 · 2024
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cPAPERS: A Dataset of Situated and Multimodal Interactive Conversations in Scientific Papers
Anirudh Sundar, Jin Xu, William Gay, Christopher Richardson, and Larry Heck. 2024 · 2024
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Magis: Llm-based multi-agent framework for github issue resolution
Wei Tao, Yucheng Zhou, Yanlin Wang, Wenqiang Zhang, Hongyu Zhang, and Yu Cheng. 2024 · 2024
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Verigen: A large language model for verilog code generation
Shailja Thakur, Baleegh Ahmad, Hammond Pearce, Benjamin Tan, Brendan Dolan-Gavitt, Ramesh Karri, and Siddharth Garg. 2024 · 2024
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Xiangxiang Chu, Limeng Qiao, Xinyu Zhang, Shuang Xu, Fei Wei, Yang Yang, Xiaofei Sun, Yiming Hu, Xinyang Lin, Bo Zhang, et al · 2024
Cited alongside, same era.
Self-collaboration code generation via chatgpt
Yihong Dong, Xue Jiang, Zhi Jin, and Ge Li. 2024 · 2024
Cited alongside, same era.
ReffAKD: Resource-efficient Autoencoder-based Knowledge Distillation
Divyang Doshi and Jung-Eun Kim. 2024 · 2024
Cited alongside, same era.
Distilled gradual pruning with pruned fine-tuning
Federico Fontana, Romeo Lanzino, Marco Raoul Marini, Danilo Avola, Luigi Cinque, Francesco Scarcello, and Gian Luca Foresti. 2024 · 2024
Cited alongside, same era.
Evaluation of llms on syntax-aware code fill-in-the-middle tasks
Linyuan Gong, Sida Wang, Mostafa Elhoushi, and Alvin Cheung. 2024 · 2024
Cited alongside, same era.
DeepSeek-Coder: When the Large Language Model Meets Programming–The Rise of Code Intelligence
Daya Guo, Qihao Zhu, Dejian Yang, Zhenda Xie, Kai Dong, Wentao Zhang, Guanting Chen, Xiao Bi, Yu Wu, YK Li, et al · 2024
Cited alongside, same era.
The strain on scientific publishing
Mark A Hanson, Pablo Gómez Barreiro, Paolo Crosetto, and Dan Brockington. 2024 · 2024
Cited alongside, same era.
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework. In Proceedings of ICLR 2024
Sirui Hong, Mingchen Zhuge, Jonathan Chen, et al · 2024
Cited alongside, same era.
CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers
Ekaterina Trofimova, Emil Sataev, and Abhijit Singh Jowhari. 2024 · 2024
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Mineru: An open-source solution for precise document content extraction
Bin Wang, Chao Xu, Xiaomeng Zhao, Linke Ouyang, Fan Wu, Zhiyuan Zhao, Rui Xu, Kaiwen Liu, Yuan Qu, Fukai Shang, et al · 2024
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General ocr theory: Towards ocr-2.0 via a unified end-to-end model
Haoran Wei, Chenglong Liu, Jinyue Chen, Jia Wang, Lingyu Kong, Yanming Xu, Zheng Ge, Liang Zhao, Jianjian Sun, Yuang Peng, et al · 2024
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Visionllm v2: An end-to-end generalist multimodal large language model for hundreds of vision-language tasks
Jiannan Wu, Muyan Zhong, Sen Xing, Zeqiang Lai, Zhaoyang Liu, Zhe Chen, Wenhai Wang, Xizhou Zhu, Lewei Lu, Tong Lu, et al · 2024
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Large language models synergize with automated machine learning
Jinglue Xu, Jialong Li, Zhen Liu, Nagar Anthel Venkatesh Suryanarayanan, Guoyuan Zhou, Jia Guo, Hitoshi Iba, and Kenji Tei. 2024a · 2024
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No More Adam: Learning Rate Scaling at Initialization is All You Need
Minghao Xu, Lichuan Xiang, Xu Cai, and Hongkai Wen. 2024b · 2024
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Swe-agent: Agent-computer interfaces enable automated software engineering
John Yang, Carlos Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, and Ofir Press. 2024 · 2024
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Kechi Zhang, Jia Li, Ge Li, Xianjie Shi, and Zhi Jin. 2024 · 2024
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Evaluation of openai o1: Opportunities and challenges of agi
Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, et al · 2024
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Ocean-OCR: Towards General OCR Application via a Vision-Language Model
Song Chen, Xinyu Guo, Yadong Li, Tao Zhang, Mingan Lin, Dongdong Kuang, Youwei Zhang, Lingfeng Ming, Fengyu Zhang, Yuran Wang, et al · 2025
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Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Ruoyu Zhang, Runxin Xu, Qihao Zhu, Shirong Ma, Peiyi Wang, Xiao Bi, et al · 2025
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From code to courtroom: Llms as the new software judges
Junda He, Jieke Shi, Terry Yue Zhuo, Christoph Treude, Jiamou Sun, Zhenchang Xing, Xiaoning Du, and David Lo. 2025 · 2025
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EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition
Hamid Nasiri and Peter Garraghan. 2025 · 2025
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CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation
Ruwei Pan, Hongyu Zhang, and Chao Liu. 2025 · 2025
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Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Minju Seo, Jinheon Baek, Seongyun Lee, and Sung Ju Hwang. 2025 · 2025
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A Multidisciplinary Multimodal Aligned Dataset for Academic Data Processing
Haitao Song, Hongyi Xu, Zikai Wang, Yifan Wang, and Jiajia Li. 2025 · 2025
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PaperBench: Evaluating AI’s Ability to Replicate AI Research
Giulio Starace, Oliver Jaffe, Dane Sherburn, James Aung, Jun Shern Chan, Leon Maksin, Rachel Dias, Evan Mays, Benjamin Kinsella, Wyatt Thompson, et al · 2025
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