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Feature transformation aims to reconstruct the feature space of raw features to enhance the performance of downstream models.
Latent dirichlet allocation
Blei, D. M.; Ng, A. Y.; and Jordan, M. I. 2003 · 2003
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Deep feature synthesis: Towards automating data science endeavors
Kanter, J. M.; and Veeramachaneni, K. 2015 · 2015
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Cognito: Automated feature engineering for supervised learning
Khurana, U.; Turaga, D.; Samulowitz, H.; and Parthasrathy, S. 2016 · 2016
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Genetic programming for feature construction and selection in classification on high-dimensional data
Tran, B.; Xue, B.; and Zhang, M. 2016 · 2016
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Neural architecture search with reinforcement learning
Zoph, B.; and Le, Q. V. 2016 · 2016
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Feature engineering for predictive modeling using reinforcement learning
Khurana, U.; Samulowitz, H.; and Turaga, D. 2018 · 2018
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Neural feature search: A neural architecture for automated feature engineering
Chen, X.; Lin, Q.; Luo, C.; Li, X.; Zhang, H.; Xu, Y.; Dang, Y.; Sui, K.; Zhang, X.; Qiao, B.; et al. 2019 · 2019
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The autofeat python library for automated feature engineering and selection
Horn, F.; Pack, R.; and Rieger, M. 2020 · 2019
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Lewis, P.; Perez, E.; Piktus, A.; Petroni, F.; Karpukhin, V.; Goyal, N.; Küttler, H.; Lewis, M.; Yih, W.-t.; Rocktäschel, T.; et al. 2020 · 2020
Earlier work this paper cites.
Rarr: Researching and revising what language models say, using language models
Gao, L.; Dai, Z.; Pasupat, P.; Chen, A.; Chaganty, A. T.; Fan, Y.; Zhao, V. Y.; Lao, N.; Lee, H.; Juan, D.-C.; et al. 2022 · 2022
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Group-wise reinforcement feature generation for optimal and explainable representation space reconstruction
Wang, D.; Fu, Y.; Liu, K.; Li, X.; and Solihin, Y. 2022 · 2022
Cited alongside, same era.
DIFER: differentiable automated feature engineering
Zhu, G.; Xu, Z.; Yuan, C.; and Huang, Y. 2022 · 2022
Cited alongside, same era.
Uprise: Universal prompt retrieval for improving zero-shot evaluation
Cheng, D.; Huang, S.; Bi, J.; Zhan, Y.; Liu, J.; Wang, Y.; Sun, H.; Wei, F.; Deng, D.; and Zhang, Q. 2023 · 2023
Cited alongside, same era.
Teaching language models to hallucinate less with synthetic tasks
Jones, E.; Palangi, H.; Simões, C.; Chandrasekaran, V.; Mukherjee, S.; Mitra, A.; Awadallah, A.; and Kamar, E. 2023 · 2023
Cited alongside, same era.
Language model crossover: Variation through few-shot prompting
Reinforcement Feature Transformation for Polymer Property Performance Prediction
Hu, X.; Wang, D.; Ying, W.; and Fu, Y. 2024 · 2024
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Self-refine: Iterative refinement with self-feedback
Madaan, A.; Tandon, N.; Gupta, P.; Hallinan, S.; Gao, L.; Wiegreffe, S.; Alon, U.; Dziri, N.; Prabhumoye, S.; Yang, Y.; et al. 2024 · 2024
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Mathematical discoveries from program search with large language models
Romera-Paredes, B.; Barekatain, M.; Novikov, A.; Balog, M.; Kumar, M. P.; Dupont, E.; Ruiz, F. J.; Ellenberg, J. S.; Wang, P.; Fawzi, O.; et al. 2024 · 2024
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LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
Shojaee, P.; Meidani, K.; Gupta, S.; Farimani, A. B.; and Reddy, C. K. 2024 · 2024
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An evolutionary model of personality traits related to cooperative behavior using a large language model
Suzuki, R.; and Arita, T. 2024 · 2024
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Meyerson, E.; Nelson, M. J.; Bradley, H.; Gaier, A.; Moradi, A.; Hoover, A. K.; and Lehman, J. 2023 · 2023
Cited alongside, same era.
Varshney, N.; Yao, W.; Zhang, H.; Chen, J.; and Yu, D. 2023 · 2023
Cited alongside, same era.
Traceable automatic feature transformation via cascading actor-critic agents
Xiao, M.; Wang, D.; Wu, M.; Qiao, Z.; Wang, P.; Liu, K.; Zhou, Y.; and Fu, Y. 2023 · 2023
Cited alongside, same era.
Self-optimizing feature generation via categorical hashing representation and hierarchical reinforcement crossing
Ying, W.; Wang, D.; Liu, K.; Sun, L.; and Fu, Y. 2023 · 2023
Cited alongside, same era.
Evoprompting: Language models for code-level neural architecture search
Chen, A.; Dohan, D.; and So, D. 2024 · 2024
Cited alongside, same era.
A comprehensive survey of hallucination mitigation techniques in large language models
Tonmoy, S.; Zaman, S.; Jain, V.; Rani, A.; Rawte, V.; Chadha, A.; and Das, A. 2024 · 2024
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Reinforcement-enhanced autoregressive feature transformation: Gradient-steered search in continuous space for postfix expressions
Wang, D.; Xiao, M.; Wu, M.; Zhou, Y.; Fu, Y.; et al. 2024 · 2024
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Leandojo: Theorem proving with retrieval-augmented language models
Yang, K.; Swope, A.; Gu, A.; Chalamala, R.; Song, P.; Yu, S.; Godil, S.; Prenger, R. J.; and Anandkumar, A. 2024 · 2024
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Unsupervised generative feature transformation via graph contrastive pre-training and multi-objective fine-tuning
Ying, W.; Wang, D.; Hu, X.; Zhou, Y.; Aggarwal, C. C.; and Fu, Y. 2024 · 2024
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