Cover Image

Diffusion Large Language Models for Black-Box Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yuan, Ye, Can, Chen, Sun, Zipeng, Zhang, Dinghuai, Pal, Christopher, Liu, Xue
Format:	Preprint
Published:	2026
Subjects:	Computational Engineering, Finance, and Science Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Training Diffusion Language Models for Black-Box Optimization
by: Sun, Zipeng, et al.
Published: (2026)

ParetoFlow: Guided Flows in Multi-Objective Optimization
by: Yuan, Ye, et al.
Published: (2024)

Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Optimization
by: Yang, Shaoliang, et al.
Published: (2026)

Assessing and Enhancing Large Language Models in Rare Disease Question-answering
by: Wang, Guanchu, et al.
Published: (2024)

Reinforcement Learning of Large Language Models for Interpretable Credit Card Fraud Detection
by: Lin, Cooper, et al.
Published: (2026)

Are LLMs Socially Adaptive? Contrasting Belief Evolution in Large Language Models and Humans
by: Lei, Yu, et al.
Published: (2024)

Large Language Models for Bioinformatics
by: Ruan, Wei, et al.
Published: (2025)

Using Large Language Models for Parametric Shape Optimization
by: Zhang, Xinxin, et al.
Published: (2024)

Algebraic Language Models for Inverse Design of Metamaterials via Diffusion Transformers
by: Zheng, Li, et al.
Published: (2025)

Empirical Asset Pricing with Large Language Model Agents
by: Cheng, Junyan, et al.
Published: (2024)

Compressing Large Language Models with PCA Without Performance Loss
by: Bengtsson, Magnus
Published: (2025)

LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset
by: Yu, Botao, et al.
Published: (2024)

QuantMCP: Grounding Large Language Models in Verifiable Financial Reality
by: Zeng, Yifan
Published: (2025)

A Survey of Sustainability in Large Language Models: Applications, Economics, and Challenges
by: Singh, Aditi, et al.
Published: (2024)

Assertion-Aware Test Code Summarization with Large Language Models
by: Mollah, Anamul Haque, et al.
Published: (2025)

Graph Diffusion Policy Optimization
by: Liu, Yijing, et al.
Published: (2024)

DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering
by: Li, Yinsheng, et al.
Published: (2025)

FinBen: A Holistic Financial Benchmark for Large Language Models
by: Xie, Qianqian, et al.
Published: (2024)

Physics-Informed Large Language Models for HVAC Anomaly Detection with Autonomous Rule Generation
by: Lin, Subin, et al.
Published: (2025)

Enterprise Benchmarks for Large Language Model Evaluation
by: Zhang, Bing, et al.
Published: (2024)

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono
by: Wang, Jingquan, et al.
Published: (2025)

StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)

Ethereum Price Prediction Employing Large Language Models for Short-term and Few-shot Forecasting
by: Makri, Eftychia, et al.
Published: (2025)

CatMemo at the FinLLM Challenge Task: Fine-Tuning Large Language Models using Data Fusion in Financial Applications
by: Cao, Yupeng, et al.
Published: (2024)

When Life gives you LLMs, make LLM-ADE: Large Language Models with Adaptive Data Engineering
by: Choi, Stephen, et al.
Published: (2024)

Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning
by: Zhang, Situo, et al.
Published: (2025)

EUR-USD Exchange Rate Forecasting Based on Information Fusion with Large Language Models and Deep Learning Methods
by: Ding, Hongcheng, et al.
Published: (2024)

IdeaBench: Benchmarking Large Language Models for Research Idea Generation
by: Guo, Sikun, et al.
Published: (2024)

FinAudio: A Benchmark for Audio Large Language Models in Financial Applications
by: Cao, Yupeng, et al.
Published: (2025)

TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction
by: Zhou, Xingzhi, et al.
Published: (2024)

InferenceEvolve: Towards Automated Causal Effect Estimators through Self-Evolving AI
by: Wang, Can, et al.
Published: (2026)

Opportunities for Large Language Models and Discourse in Engineering Design
by: Göpfert, Jan, et al.
Published: (2023)

An Information Bottleneck Asset Pricing Model
by: Sun, Che
Published: (2025)

DiffDA: a Diffusion Model for Weather-scale Data Assimilation
by: Huang, Langwen, et al.
Published: (2024)

ProtChatGPT: Towards Understanding Proteins with Large Language Models
by: Wang, Chao, et al.
Published: (2024)

RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements
by: Zhan, Zaifu, et al.
Published: (2024)

Enhancing Black-Litterman Portfolio via Hybrid Forecasting Model Combining Multivariate Decomposition and Noise Reduction
by: Yang, Ziye, et al.
Published: (2025)

Computational Lesions in Multilingual Language Models Separate Shared and Language-specific Brain Alignment
by: Cui, Yang, et al.
Published: (2026)

Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance
by: Zhao, Jiachi, et al.
Published: (2025)

FLAME: Financial Large-Language Model Assessment and Metrics Evaluation
by: Guo, Jiayu, et al.
Published: (2025)