Cover Image

From Perception to Punchline: Empowering VLM with the Art of In-the-wild Meme

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Xueyan, Xue, Yingyi, Jiang, Mengjie, Zhu, Qingzi, Niu, Yazhe
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generative Multi-modal Feedback for Singing Voice Synthesis Evaluation
by: Li, Xueyan, et al.
Published: (2025)

Empowering LLMs in Decision Games through Algorithmic Data Synthesis
by: Wang, Haolin, et al.
Published: (2025)

PsyDI: Towards a Personalized and Progressively In-depth Chatbot for Psychological Measurements
by: Li, Xueyan, et al.
Published: (2024)

OSPC: Artificial VLM Features for Hateful Meme Detection
by: Grönquist, Peter
Published: (2024)

What Makes a Meme a Meme? Identifying Memes for Memetics-Aware Dataset Creation
by: Hazman, Muzhaffar, et al.
Published: (2024)

CleanS2S: Single-file Framework for Proactive Speech-to-Speech Interaction
by: Lu, Yudong, et al.
Published: (2025)

PriorZero: Bridging Language Priors and World Models for Decision Making
by: Xiong, Junyu, et al.
Published: (2026)

Revisiting Generative Policies: A Simpler Reinforcement Learning Algorithmic Perspective
by: Zhang, Jinouwen, et al.
Published: (2024)

One Model for All Tasks: Leveraging Efficient World Models in Multi-Task Planning
by: Pu, Yuan, et al.
Published: (2025)

UniZero: Generalized and Efficient Planning with Scalable Latent World Models
by: Pu, Yuan, et al.
Published: (2024)

Transformers for Supervised Online Continual Learning
by: Bornschein, Jorg, et al.
Published: (2024)

MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification
by: Shah, Siddhant Bikram, et al.
Published: (2024)

Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory
by: Niu, Xueyan, et al.
Published: (2024)

Evaluating Representations with Readout Model Switching
by: Li, Yazhe, et al.
Published: (2023)

Denoising Autoregressive Representation Learning
by: Li, Yazhe, et al.
Published: (2024)

Pretrained Reversible Generation as Unsupervised Visual Representation Learning
by: Xue, Rongkun, et al.
Published: (2024)

Practical Kernel Tests of Conditional Independence
by: Pogodin, Roman, et al.
Published: (2024)

Meta-Learning Neural Procedural Biases
by: Raymond, Christian, et al.
Published: (2024)

A Consistent Lebesgue Measure for Multi-label Learning
by: Demir, Kaan, et al.
Published: (2024)

From Code to Action: Hierarchical Learning of Diffusion-VLM Policies
by: Peschl, Markus, et al.
Published: (2025)

EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming
by: Yang, Xuanhao, et al.
Published: (2026)

On the Non-decoupling of Supervised Fine-tuning and Reinforcement Learning in Post-training
by: Niu, Xueyan, et al.
Published: (2026)

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes
by: Deng, Shiling, et al.
Published: (2025)

PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA
by: Wang, Sheng, et al.
Published: (2024)

From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment
by: Wu, Yilin, et al.
Published: (2025)

VLM-Pruner: Buffering for Spatial Sparsity in an Efficient VLM Centrifugal Token Pruning Paradigm
by: Wu, Zhenkai, et al.
Published: (2025)

VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making
by: Grigsby, Jake, et al.
Published: (2025)

Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling
by: Wang, Fei, et al.
Published: (2026)

From Power to Precision: Learning Fine-grained Dexterity for Multi-fingered Robotic Hands
by: Ye, Jianglong, et al.
Published: (2025)

Meta-Learning Adaptive Loss Functions
by: Raymond, Christian, et al.
Published: (2023)

Disentangling Slow and Fast Temporal Dynamics in Degradation Inference with Hierarchical Differential Models
by: Zhao, Mengjie, et al.
Published: (2025)

On the Hardness of Conditional Independence Testing In Practice
by: He, Zheng, et al.
Published: (2025)

RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning
by: Zhu, Jiapeng, et al.
Published: (2024)

Sharpness-aware Second-order Latent Factor Model for High-dimensional and Incomplete Data
by: Wang, Jialiang, et al.
Published: (2025)

Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
by: Raymond, Christian, et al.
Published: (2022)

Memes-as-Replies: Can Models Select Humorous Manga Panel Responses?
by: Kohita, Ryosuke, et al.
Published: (2026)

DocVLM: Make Your VLM an Efficient Reader
by: Nacson, Mor Shpigel, et al.
Published: (2024)

CropVLM: Learning to Zoom for Fine-Grained Vision-Language Perception
by: Carvalho, Miguel, et al.
Published: (2025)

Preference VLM: Leveraging VLMs for Scalable Preference-Based Reinforcement Learning
by: Ghosh, Udita, et al.
Published: (2025)

From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for VLM Image Tampering
by: Shang, Xinyi, et al.
Published: (2026)