conftrace_

gradient-free optimization

43 papers

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Co-occurring keywords

large language model (13587) black-box optimization (183) stochastic optimization (1060) prompt tuning (391) zeroth-order optimization (102) prompt engineering (1135) few-shot learning (3398) black-box model (90) zero-order optimization (25) derivative-free optimization (44)

Papers

Dynamic Generation of Multi LLM Agents Communication Topologies with Graph Diffusion Models ACL 2026
Evolutionary Strategies at Scale lead to Catastrophic Forgetting ACL 2026
Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs ACL 2025
Black-Box Test-Time Prompt Tuning for Vision-Language Models AAAI 2025
CBP-Tuning: Efficient Local Customization for Black-box Large Language Models EMNLP 2025
Long Chain-of-Thought Fine-tuning via Understanding-to-Reasoning Transition EMNLP 2025
Personalized Language Models via Privacy-Preserving Evolutionary Model Merging EMNLP 2025
PURA: Parameter Update-Recovery Test-Time Adaption for RGB-T Tracking CVPR 2025
Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization AAAI 2024
Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm JMLR 2024
Exponential Hardness of Optimization from the Locality in Quantum Neural Networks AAAI 2024
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving CVPR 2024
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives COLING 2024
Multi-Scale Prompt Memory-Augmented Model for Black-Box Scenarios NAACL 2024
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning NAACL 2024
Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting AAAI 2024
Dual-Phase Accelerated Prompt Optimization EMNLP 2024
Gradient-free Decoder Inversion in Latent Diffusion Models NIPS 2024
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models EACL 2023
Accelerating Motion Planning via Optimal Transport NIPS 2023
Parameter-efficient Tuning for Large Language Model without Calculating Its Gradients EMNLP 2023
Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning EMNLP 2023
Reliable Gradient-free and Likelihood-free Prompt Tuning EACL 2023
BBTv2: Towards a Gradient-Free Future with Large Language Models EMNLP 2022
Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization NIPS 2022