Large Language Models to Enhance Bayesian Optimization

Large Language Models to Enhance Bayesian Optimization

6 February 2024

Nicolás Astorga

Papers citing "Large Language Models to Enhance Bayesian Optimization"

19 / 19 papers shown

Title
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning? Roman Kochnev Arash Torabi Goodarzi Zofia Antonina Bentyn D. Ignatov Radu Timofte 33 2 0 08 Apr 2025
Language-Based Bayesian Optimization Research Assistant (BORA) A. Cissé Xenophon Evangelopoulos V. Gusev Andrew I. Cooper 36 0 0 28 Jan 2025
TAPO: Task-Referenced Adaptation for Prompt Optimization Wenxin Luo W. Wang Xiaopeng Li Weibo Zhou Pengyue Jia Xiangyu Zhao 40 0 0 12 Jan 2025
Beyond Numeric Awards: In-Context Dueling Bandits with LLM Agents Fanzeng Xia Hao Liu Yisong Yue Tongxin Li 51 1 0 03 Jan 2025
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models Zhi-Yi Chin Kuan-Chen Mu Mario Fritz Pin-Yu Chen DiffM 78 0 0 25 Nov 2024
Sequential Large Language Model-Based Hyper-parameter Optimization Kanan Mahammadli Seyda Ertekin 32 4 0 27 Oct 2024
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul E. Chang Nasrulloh Loka Daolang Huang Ulpu Remes Samuel Kaski Luigi Acerbi AI4CE 29 4 0 20 Oct 2024
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch Caigao Jiang Xiang Shu Hong Qian Xingyu Lu Jun-ping Zhou Aimin Zhou Yang Yu 30 1 0 17 Oct 2024
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems Patrick Emami Zhaonan Li Saumya Sinha Truc Nguyen 48 1 0 30 May 2024
BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments Yusuf Roohani Jian Vora Qian Huang Zach Steinhart Alex Marson Percy Liang J. Leskovec Percy Liang Jure Leskovec LLMAG LM&Ro 34 13 0 27 May 2024
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models Parshin Shojaee Kazem Meidani Shashank Gupta A. Farimani Chandan K. Reddy 26 13 0 29 Apr 2024
Evolve Cost-aware Acquisition Functions Using Large Language Models Yiming Yao Fei Liu Ji Cheng Qingfu Zhang 18 7 0 25 Apr 2024
AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning F. Imrie B. Cebere E. McKinney M. Schaar 43 18 0 21 Oct 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 301 11,730 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 313 8,261 0 28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 203 1,651 0 15 Oct 2021
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 74 323 0 20 Sep 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 274 882 0 18 Apr 2021
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 84 255 0 24 Feb 2014