Cover Image

Topic Modelling Black Box Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Akramov, Roman, Khamatullin, Artem, Glazyrina, Svetlana, Kryzhanovskiy, Maksim, Ischenko, Roman
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computation and Language Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Soft Sequence Policy Optimization
by: Glazyrina, Svetlana, et al.
Published: (2026)

Smooth Gate Functions for Soft Advantage Policy Optimization
by: Denisov, Egor, et al.
Published: (2026)

Reinforcement Networks: novel framework for collaborative Multi-Agent Reinforcement Learning tasks
by: Kryzhanovskiy, Maksim, et al.
Published: (2025)

Position: Leverage Foundational Models for Black-Box Optimization
by: Song, Xingyou, et al.
Published: (2024)

Reinforced In-Context Black-Box Optimization
by: Song, Lei, et al.
Published: (2024)

MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization
by: Ma, Zeyuan, et al.
Published: (2025)

Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings
by: Tan, Rong-Xi, et al.
Published: (2025)

BlackDAN: A Black-Box Multi-Objective Approach for Effective and Contextual Jailbreaking of Large Language Models
by: Wang, Xinyuan, et al.
Published: (2024)

Instance Generation for Meta-Black-Box Optimization through Latent Space Reverse Engineering
by: Wang, Chen, et al.
Published: (2025)

Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments
by: Baumann, Jill, et al.
Published: (2024)

CAPO: Cost-Aware Prompt Optimization
by: Zehle, Tom, et al.
Published: (2025)

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement
by: Xue, Ke, et al.
Published: (2025)

Benchmarking Randomized Optimization Algorithms on Binary, Permutation, and Combinatorial Problem Landscapes
by: Odeyemi, Jethro, et al.
Published: (2025)

Vector Policy Optimization: Training for Diversity Improves Test-Time Search
by: Bahlous-Boldi, Ryan, et al.
Published: (2026)

LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
by: Abhyankar, Nikhil, et al.
Published: (2025)

AgenticGEO: A Self-Evolving Agentic System for Generative Engine Optimization
by: Yuan, Jiaqi, et al.
Published: (2026)

GigaEvo: An Open Source Optimization Framework Powered By LLMs And Evolution Algorithms
by: Khrulkov, Valentin, et al.
Published: (2025)

Pretrained Optimization Model for Zero-Shot Black Box Optimization
by: Li, Xiaobin, et al.
Published: (2024)

Diffusion Language Models for Speech Recognition
by: Naveriani, Davyd, et al.
Published: (2026)

Elastic Architecture Search for Efficient Language Models
by: Wang, Shang
Published: (2025)

Hyperbolic Fine-Tuning for Large Language Models
by: Yang, Menglin, et al.
Published: (2024)

EvoMerge: Neuroevolution for Large Language Models
by: Jiang, Yushu
Published: (2024)

Solve the Loop: Attractor Models for Language and Reasoning
by: Fein-Ashley, Jacob, et al.
Published: (2026)

H-Node Attack and Defense in Large Language Models
by: Yocam, Eric, et al.
Published: (2026)

Task-free Adaptive Meta Black-box Optimization
by: Wang, Chao, et al.
Published: (2026)

Large Language Models and Emergence: A Complex Systems Perspective
by: Krakauer, David C., et al.
Published: (2025)

Fleet of Agents: Coordinated Problem Solving with Large Language Models
by: Klein, Lars, et al.
Published: (2024)

Towards White Box Deep Learning
by: Satkiewicz, Maciej
Published: (2024)

Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models
by: Liang, Haoyu, et al.
Published: (2025)

Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models
by: Petruzzellis, Flavio, et al.
Published: (2024)

Accelerating Training Speed of Tiny Recursive Models with Curriculum Guided Adaptive Recursion
by: Qasim, Kaleem Ullah, et al.
Published: (2025)

MAR: Efficient Large Language Models via Module-aware Architecture Refinement
by: Cai, Junhong, et al.
Published: (2026)

LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
by: Shojaee, Parshin, et al.
Published: (2024)

When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges
by: Wang, Chao, et al.
Published: (2024)

Fine-Tuning and Evaluating Open-Source Large Language Models for the Army Domain
by: Ruiz, Daniel C., et al.
Published: (2024)

W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models
by: Wang, Shang
Published: (2025)

Language Models Learn Universal Representations of Numbers and Here's Why You Should Care
by: Štefánik, Michal, et al.
Published: (2025)

Evaluating Large Language Models with Grid-Based Game Competitions: An Extensible LLM Benchmark and Leaderboard
by: Topsakal, Oguzhan, et al.
Published: (2024)

Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Security
by: Qu, Youyang, et al.
Published: (2024)

CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
by: Tørring, Jacob O., et al.
Published: (2024)