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Large Language Models to Enhance Bayesian Optimization
v1v2 (latest)

Large Language Models to Enhance Bayesian Optimization

International Conference on Learning Representations (ICLR), 2024
6 February 2024
Tennison Liu
Nicolás Astorga
Nabeel Seedat
M. Schaar
ArXiv (abs)PDFHTMLGithub (106★)

Papers citing "Large Language Models to Enhance Bayesian Optimization"

45 / 45 papers shown
NNGPT: Rethinking AutoML with Large Language Models
NNGPT: Rethinking AutoML with Large Language Models
Roman Kochnev
Waleed Khalid
Tolgay Atinc Uzun
X. Zhang
Yashkumar Sanjaybhai Dhameliya
...
Chandini Vysyaraju
Raghuvir Duvvuri
Avi Goyal
D. Ignatov
Radu Timofte
LM&MALRM
246
7
0
25 Nov 2025
Reproducibility Study of Large Language Model Bayesian Optimization
Reproducibility Study of Large Language Model Bayesian Optimization
Adam Rychert
Gasper Spagnolo
Evgenii Posashkov
ALM
209
0
0
24 Nov 2025
Efficient Robot Design with Multi-Objective Black-Box Optimization and Large Language Models
Efficient Robot Design with Multi-Objective Black-Box Optimization and Large Language Models
Kento Kawaharazuka
Yoshiki Obinata
Naoaki Kanazawa
Haoyu Jia
Kei Okada
159
0
0
21 Nov 2025
Preference Learning from Physics-Based Feedback: Tuning Language Models to Design BCC/B2 Superalloys
Preference Learning from Physics-Based Feedback: Tuning Language Models to Design BCC/B2 Superalloys
Satanu Ghosh
Collin Holgate
Neal R. Brodnik
Doug Downey
Samantha Daly
Tresa M. Pollock
Samuel Carton
115
0
0
15 Nov 2025
None To Optima in Few Shots: Bayesian Optimization with MDP Priors
None To Optima in Few Shots: Bayesian Optimization with MDP Priors
Diantong Li
Kyunghyun Cho
Chong Liu
160
1
0
02 Nov 2025
FELA: A Multi-Agent Evolutionary System for Feature Engineering of Industrial Event Log Data
FELA: A Multi-Agent Evolutionary System for Feature Engineering of Industrial Event Log Data
Kun ouyang
Haoyu Wang
Dong Fang
LLMAGAI4CE
229
0
0
29 Oct 2025
Timely Clinical Diagnosis through Active Test Selection
Timely Clinical Diagnosis through Active Test Selection
Silas Ruhrberg Estévez
Nicolás Astorga
M. Schaar
LM&MA
481
0
0
21 Oct 2025
LILO: Bayesian Optimization with Interactive Natural Language Feedback
LILO: Bayesian Optimization with Interactive Natural Language Feedback
Katarzyna Kobalczyk
Zhiyuan Jerry Lin
Benjamin Letham
Zhuokai Zhao
Maximilian Balandat
E. Bakshy
135
1
0
20 Oct 2025
Coder as Editor: Code-driven Interpretable Molecular Optimization
Coder as Editor: Code-driven Interpretable Molecular Optimization
Wenyu Zhu
Chengzhu Li
Xiaohe Tian
Yifan Wang
Yinjun Jia
Jianhui Wang
Bowen Gao
Ya Zhang
Wei-Ying Ma
Yanyan Lan
117
2
0
16 Oct 2025
OptunaHub: A Platform for Black-Box Optimization
OptunaHub: A Platform for Black-Box Optimization
Yoshihiko Ozaki
Shuhei Watanabe
Toshihiko Yanase
128
4
0
03 Oct 2025
ZeroShotOpt: Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimization
ZeroShotOpt: Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimization
Jamison Meindl
Yunsheng Tian
Tony Cui
Veronika Thost
Zhang-Wei Hong
Johannes Dürholt
Jie Chen
Wojciech Matusik
Mina Konakovic-Lukovic
197
1
0
03 Oct 2025
Fine-tuning LLMs with variational Bayesian last layer for high-dimensional Bayesian optimization
Fine-tuning LLMs with variational Bayesian last layer for high-dimensional Bayesian optimization
Haotian Xiang
Jinwen Xu
Qin Lu
281
1
0
01 Oct 2025
LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet?
LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet?
Rushil Gupta
Jason Hartford
Bang Liu
BDL
163
2
0
24 Sep 2025
Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
Richard Cornelius Suwandi
Feng Yin
Juntao Wang
Renjie Li
Tsung-Hui Chang
Sergios Theodoridis
BDL
215
2
0
22 Sep 2025
Evolution of Kernels: Automated RISC-V Kernel Optimization with Large Language Models
Evolution of Kernels: Automated RISC-V Kernel Optimization with Large Language Models
Siyuan Chen
Zhichao Lu
Gang Qu
219
0
0
14 Sep 2025
MetaLLMix : An XAI Aided LLM-Meta-learning Based Approach for Hyper-parameters Optimization
MetaLLMix : An XAI Aided LLM-Meta-learning Based Approach for Hyper-parameters Optimization
Mohamed Bal-Ghaoui
Mohammed Tiouti
265
1
0
11 Sep 2025
ChemBOMAS: Accelerated BO in Chemistry with LLM-Enhanced Multi-Agent System
ChemBOMAS: Accelerated BO in Chemistry with LLM-Enhanced Multi-Agent System
Lingli Ge
Zhehong Ai
Pengxiang Cai
S. Sun
Shanya Lu
...
Dongzhan Zhou
Tao XU
Tao XU
Yuqiang Li
Shufei Zhang
247
1
0
10 Sep 2025
LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding
LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding
Yuxuan Hu
Jihao Liu
Ke Wang
Jinliang Zhen
Weikang Shi
Manyuan Zhang
Qi Dou
R. Liu
Aojun Zhou
Hongsheng Li
276
1
0
06 Sep 2025
Aligning Reasoning LLMs for Materials Discovery with Physics-aware Rejection Sampling
Aligning Reasoning LLMs for Materials Discovery with Physics-aware Rejection Sampling
Lee Hyun
Sohee Yoon
Jinwoo Park
Sue In Chae
Seongeon Park
...
Myeonginn Kang
Myeonginn Kang
Jina Kim
Ho-Gyeong Kim
Myeonghun Jeong
LRM
204
1
0
31 Aug 2025
Cooperative Design Optimization through Natural Language Interaction
Cooperative Design Optimization through Natural Language InteractionACM Symposium on User Interface Software and Technology (UIST), 2025
Ryogo Niwa
Shigeo Yoshida
Yuki Koyama
Yoshitaka Ushiku
255
3
0
22 Aug 2025
AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
Fali Wang
Hui Liu
Zhenwei Dai
Jingying Zeng
Zhiwei Zhang
...
Chen Luo
Zhen Li
Xianfeng Tang
Qi He
Suhang Wang
LLMAG
327
11
0
26 Jul 2025
Reward-Agnostic Prompt Optimization for Text-to-Image Diffusion Models
Reward-Agnostic Prompt Optimization for Text-to-Image Diffusion Models
Semin Kim
Yeonwoo Cha
Jaehoon Yoo
Seunghoon Hong
EGVM
338
3
0
20 Jun 2025
ORFS-agent: Tool-Using Agents for Chip Design OptimizationWorkshop on Machine Learning for CAD (ML4CAD), 2025
Amur Ghose
Andrew B. Kahng
Sayak Kundu
Zhiang Wang
AI4CE
379
9
0
10 Jun 2025
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings
Rong-Xi Tan
Ming Chen
Ke Xue
Yao Wang
Yaoyuan Wang
Sheng Fu
Chao Qian
OffRL
275
5
0
08 Jun 2025
Understanding Gender Bias in AI-Generated Product Descriptions
Understanding Gender Bias in AI-Generated Product DescriptionsConference on Fairness, Accountability and Transparency (FAccT), 2025
Markelle Kelly
Mohammad Tahaei
Padhraic Smyth
Lauren Wilcox
292
27
0
03 Jun 2025
LLINBO: Trustworthy LLM-in-the-Loop Bayesian Optimization
LLINBO: Trustworthy LLM-in-the-Loop Bayesian Optimization
Chih-Yu Chang
Milad Azvar
Chinedum Okwudire
Raed Al Kontar
UQCV
428
5
0
20 May 2025
Reasoning BO: Enhancing Bayesian Optimization with Long-Context Reasoning Power of LLMs
Reasoning BO: Enhancing Bayesian Optimization with Long-Context Reasoning Power of LLMs
Zhuo Yang
Lingli Ge
Lingli Ge
Haiwen Huang
Tao XU
Yuqiang Li
431
2
0
19 May 2025
Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models
Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models
Xuan Wu
Haiyan Zhao
Chunguo Wu
Lijie Wen
Chunyan Miao
Yubin Xiao
You Zhou
365
12
0
19 May 2025
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?
Roman Kochnev
Arash Torabi Goodarzi
Zofia Antonina Bentyn
D. Ignatov
Radu Timofte
719
15
0
08 Apr 2025
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
Nikhil Abhyankar
Parshin Shojaee
Chandan K. Reddy
423
21
0
18 Mar 2025
Language-Based Bayesian Optimization Research Assistant (BORA)
Language-Based Bayesian Optimization Research Assistant (BORA)International Joint Conference on Artificial Intelligence (IJCAI), 2025
A. Cissé
Xenophon Evangelopoulos
V. Gusev
Andrew I. Cooper
358
8
0
27 Jan 2025
TAPO: Task-Referenced Adaptation for Prompt Optimization
TAPO: Task-Referenced Adaptation for Prompt OptimizationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Wenxin Luo
Wenjie Wang
Xiaopeng Li
Weibo Zhou
Pengyue Jia
Xiangyu Zhao
509
5
0
12 Jan 2025
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models
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
553
2
0
25 Nov 2024
Sequential Large Language Model-Based Hyper-parameter Optimization
Sequential Large Language Model-Based Hyper-parameter Optimization
Kanan Mahammadli
Seyda Ertekin
578
19
0
27 Oct 2024
Bayesian Concept Bottleneck Models with LLM Priors
Bayesian Concept Bottleneck Models with LLM Priors
Jean Feng
Avni Kothari
Luke Zier
Chandan Singh
Yan Shuo Tan
513
11
0
21 Oct 2024
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
Amortized Probabilistic Conditioning for Optimization, Simulation and InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Paul E. Chang
Nasrulloh Loka
Daolang Huang
Ulpu Remes
Samuel Kaski
Luigi Acerbi
AI4CE
440
20
0
20 Oct 2024
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch
LLMOPT: Learning to Define and Solve General Optimization Problems from ScratchInternational Conference on Learning Representations (ICLR), 2024
Caigao Jiang
Xiang Shu
Hong Qian
Xingyu Lu
Jun-ping Zhou
Aimin Zhou
Yang Yu
365
63
0
17 Oct 2024
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
Patara Trirat
Wonyong Jeong
Sung Ju Hwang
LLMAG
485
72
0
03 Oct 2024
Beyond Numeric Rewards: In-Context Dueling Bandits with LLM Agents
Beyond Numeric Rewards: In-Context Dueling Bandits with LLM Agents
Fanzeng Xia
Hao Liu
Yisong Yue
Tongxin Li
725
1
0
02 Jul 2024
LICO: Large Language Models for In-Context Molecular Optimization
LICO: Large Language Models for In-Context Molecular OptimizationInternational Conference on Learning Representations (ICLR), 2024
Tung Nguyen
Aditya Grover
358
27
0
27 Jun 2024
TextGrad: Automatic "Differentiation" via Text
TextGrad: Automatic "Differentiation" via Text
Mert Yuksekgonul
Federico Bianchi
Joseph Boen
Sheng Liu
Zhi Huang
Carlos Guestrin
James Zou
LLMAGOODAI4CE
406
118
0
11 Jun 2024
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems
Patrick Emami
Zhaonan Li
Saumya Sinha
Truc Nguyen
597
4
0
30 May 2024
BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments
BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments
Yusuf Roohani
Jian Vora
Qian Huang
Zach Steinhart
Alex Marson
Abigail Z. Jacobs
J. Leskovec
Percy Liang
Jure Leskovec
LLMAGLM&Ro
572
53
0
27 May 2024
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
Parshin Shojaee
Kazem Meidani
Shashank Gupta
A. Farimani
Chandan K. Reddy
616
68
0
29 Apr 2024
Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms
  in Large Language Models
Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms in Large Language Models
Feihu Jin
Yifan Liu
Ying Tan
LRMReLMLLMAG
194
20
0
08 Feb 2024
1
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