Learn Before You Judge: Progressive Knowledge-to-Decision Alignment for Explainable Hateful Meme Detection

arXiv:2609.19778 · cs.CL · Submitted 2026-09-17 · Read on arXiv

cs.CL

Submitted: 2026-09-17

Updated: 2026-09-17

Comments: 26 pages, 16 figures, 7 tables

Project page: https://meizhiyuan88666.github.io/prokda

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Alignment — 26× in this paper · explained in 1 episode
• Accuracy — 10× in this paper · explained in 1 episode
• Core — 9× in this paper · explained in 2 episodes
• Explainability — 6× in this paper · explained in 3 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• LLM-as-a-Judge — 5× in this paper · explained in 3 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Commentary — 3× in this paper · explained in 2 episodes
• Direct Preference Optimization — 3× in this paper
• GRPO — 3× in this paper · explained in 6 episodes
• Hateful Memes Challenge — 3× in this paper
• Multimedia Automatic Misogyny Identification — 3× in this paper
• Ablation — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Direct Preference Optimization (DPO) — 2× in this paper · explained in 9 episodes
• LLM judge — 2× in this paper · explained in 2 episodes
• Multimodal Reasoning — 2× in this paper · explained in 5 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Supervised Fine-Tuning — 2× in this paper
• Supervised Fine-Tuning (SFT) — 2× in this paper · explained in 8 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Evaluation Dimensions — 1× in this paper · explained in 3 episodes
• Group Relative Policy Optimization — 1× in this paper
• Group Relative Policy Optimization (GRPO) — 1× in this paper · explained in 5 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
• Positional Bias — 1× in this paper · explained in 2 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes

Sources

• Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
• Mapping Memes to Words for Multimodal Hateful Meme Classification
• NYK-MS: A Well-annotated Multi-modal Metaphor and Sarcasm Understanding Benchmark on Cartoon-Caption Dataset
• MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
• Racial Bias in Hate Speech and Abusive Language Detection Datasets
• M-QUEST -- Meme Question-Understanding Evaluation on Semantics and Toxicity
• Demystifying Hateful Content: Leveraging Large Multimodal Models for Hateful Meme Detection with Explainable Decisions
• LoRA: Low-Rank Adaptation of Large Language Models
• Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features
• LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
• Yes FLoReNce, I Will Do Better Next Time! Agentic Feedback Reasoning for Humorous Meme Detection
• DeepSeek-VL: Towards Real-World Vision-Language Understanding
• Qwen2.5-VL Technical Report
• PEST: Parameter Efficient Steering of Blackbox VLMs via Agentic Few-shot Alignment for Hateful Meme Moderation

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