Cover Image

On Discrete Prompt Optimization for Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Ruochen, Liu, Ting, Hsieh, Cho-Jui, Gong, Boqing
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition 68T01
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
by: Wang, Ruochen, et al.
Published: (2024)

Large Language Models are Interpretable Learners
by: Wang, Ruochen, et al.
Published: (2024)

MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries?
by: Li, Xirui, et al.
Published: (2024)

Mitigating Bias in Dataset Distillation
by: Cui, Justin, et al.
Published: (2024)

The LLM Bottleneck: Why Open-Source Vision LLMs Struggle with Hierarchical Visual Recognition
by: Tan, Yuwen, et al.
Published: (2025)

IRIS: Intrinsic Reward Image Synthesis
by: Chen, Yihang, et al.
Published: (2025)

The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise
by: Ban, Yuanhao, et al.
Published: (2024)

QG-CoC: Question-Guided Chain-of-Captions for Large Multimodal Models
by: Kao, Kuei-Chun, et al.
Published: (2025)

R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model
by: Zhou, Hengguang, et al.
Published: (2025)

Animation Needs Attention: A Holistic Approach to Slides Animation Comprehension with Visual-Language Models
by: Jiang, Yifan, et al.
Published: (2025)

FST.ai 2.0: An Explainable AI Ecosystem for Fair, Fast, and Inclusive Decision-Making in Olympic and Paralympic Taekwondo
by: Shariatmadar, Keivan, et al.
Published: (2025)

In-Situ Tweedie Discrete Diffusion Models
by: Li, Xiao, et al.
Published: (2025)

Explaining generative diffusion models via visual analysis for interpretable decision-making process
by: Park, Ji-Hoon, et al.
Published: (2024)

What is the Visual Cognition Gap between Humans and Multimodal LLMs?
by: Cao, Xu, et al.
Published: (2024)

$\textit{Jump Your Steps}$: Optimizing Sampling Schedule of Discrete Diffusion Models
by: Park, Yong-Hyun, et al.
Published: (2024)

Sequence Transferability and Task Order Selection in Continual Learning
by: Nguyen, Thinh, et al.
Published: (2025)

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models
by: Sartori, Camilo Chacón, et al.
Published: (2024)

Flexible-length Text Infilling for Discrete Diffusion Models
by: Zhang, Andrew, et al.
Published: (2025)

Semantic Needles in Document Haystacks: Sensitivity Testing of LLM-as-a-Judge Similarity Scoring
by: Aksoy, Sinan G., et al.
Published: (2026)

Deepfakes on Demand: the rise of accessible non-consensual deepfake image generators
by: Hawkins, Will, et al.
Published: (2025)

Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
by: Zhou, Andy, et al.
Published: (2024)

Socratic Planner: Self-QA-Based Zero-Shot Planning for Embodied Instruction Following
by: Shin, Suyeon, et al.
Published: (2024)

VACoDe: Visual Augmented Contrastive Decoding
by: Kim, Sihyeon, et al.
Published: (2024)

Think While You Generate: Discrete Diffusion with Planned Denoising
by: Liu, Sulin, et al.
Published: (2024)

AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment
by: Kao, Kuei-Chun, et al.
Published: (2026)

MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
by: Li, Jianning, et al.
Published: (2023)

Solving for X and Beyond: Can Large Language Models Solve Complex Math Problems with More-Than-Two Unknowns?
by: Kao, Kuei-Chun, et al.
Published: (2024)

Concepts or Skills? Rethinking Instruction Selection for Multi-modal Models
by: Bai, Andrew, et al.
Published: (2025)

WebInject: Prompt Injection Attack to Web Agents
by: Wang, Xilong, et al.
Published: (2025)

Understanding the Impact of Negative Prompts: When and How Do They Take Effect?
by: Ban, Yuanhao, et al.
Published: (2024)

By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting
by: Yoon, Hyungjun, et al.
Published: (2024)

ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
by: Khan, Rana Muhammad Shahroz, et al.
Published: (2025)

SurGen: Text-Guided Diffusion Model for Surgical Video Generation
by: Cho, Joseph, et al.
Published: (2024)

Rethinking Evaluation of Multiple Sclerosis (MS) Lesion Segmentation Models
by: Basit, Abdul, et al.
Published: (2026)

Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance
by: Park, Dongmin, et al.
Published: (2024)

Representative Feature Extraction During Diffusion Process for Sketch Extraction with One Example
by: Yun, Kwan, et al.
Published: (2024)

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
by: Zhan, Jun, et al.
Published: (2024)

Continual Adapter Tuning with Semantic Shift Compensation for Class-Incremental Learning
by: Zhou, Qinhao, et al.
Published: (2024)

HAAP: Vision-context Hierarchical Attention Autoregressive with Adaptive Permutation for Scene Text Recognition
by: Chen, Honghui, et al.
Published: (2024)

Differentiable Prompt Learning for Vision Language Models
by: Huang, Zhenhan, et al.
Published: (2024)