Cover Image

Chain-of-Thought Prompting for Demographic Inference with Large Multimodal Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Yongsheng, Luo, Jiebo
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Compositional Chain-of-Thought Prompting for Large Multimodal Models
by: Mitra, Chancharik, et al.
Published: (2023)

CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal Models with Multiple Image Inputs
by: Zhang, Daoan, et al.
Published: (2024)

Multilingual OCR-Aware Fine-Tuning and Prompt-Guided Chain-of-Thought Reasoning for Multimodal Large Language Models
by: Xu, Qinwu, et al.
Published: (2026)

Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection
by: Huang, Jinfa, et al.
Published: (2024)

MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification
by: Sun, Linzhuang, et al.
Published: (2025)

GeoChain: Multimodal Chain-of-Thought for Geographic Reasoning
by: Yerramilli, Sahiti, et al.
Published: (2025)

Visual Prompting in Multimodal Large Language Models: A Survey
by: Wu, Junda, et al.
Published: (2024)

From Intent to Execution: Multimodal Chain-of-Thought Reinforcement Learning for Precise CAD Code Generation
by: Niu, Ke, et al.
Published: (2025)

PromptFix: You Prompt and We Fix the Photo
by: Yu, Yongsheng, et al.
Published: (2024)

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
by: Wang, Yaoting, et al.
Published: (2025)

S-Chain: Structured Visual Chain-of-Thought For Medicine
by: Le-Duc, Khai, et al.
Published: (2025)

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey
by: Qi, Yayun, et al.
Published: (2024)

VisReason: A Large-Scale Dataset for Visual Chain-of-Thought Reasoning
by: Li, Lingxiao, et al.
Published: (2025)

FairCoT: Enhancing Fairness in Text-to-Image Generation via Chain of Thought Reasoning with Multimodal Large Language Models
by: Sahili, Zahraa Al, et al.
Published: (2024)

SurgLLM: A Versatile Large Multimodal Model with Spatial Focus and Temporal Awareness for Surgical Video Understanding
by: Chen, Zhen, et al.
Published: (2025)

UniT: Unified Multimodal Chain-of-Thought Test-time Scaling
by: Chen, Leon Liangyu, et al.
Published: (2026)

Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models
by: Chen, Yangyi, et al.
Published: (2023)

CPA-Enhancer: Chain-of-Thought Prompted Adaptive Enhancer for Object Detection under Unknown Degradations
by: Zhang, Yuwei, et al.
Published: (2024)

Interleaved-Modal Chain-of-Thought
by: Gao, Jun, et al.
Published: (2024)

Learning to Inference Adaptively for Multimodal Large Language Models
by: Xu, Zhuoyan, et al.
Published: (2025)

C^2Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning
by: Xu, Kunlun, et al.
Published: (2025)

Exploring the Transferability of Visual Prompting for Multimodal Large Language Models
by: Zhang, Yichi, et al.
Published: (2024)

ImageChain: Advancing Sequential Image-to-Text Reasoning in Multimodal Large Language Models
by: Villegas, Danae Sánchez, et al.
Published: (2025)

FireScope: Wildfire Risk Raster Prediction with a Chain-of-Thought Oracle
by: Markov, Mario, et al.
Published: (2025)

Introducing Visual Perception Token into Multimodal Large Language Model
by: Yu, Runpeng, et al.
Published: (2025)

Graph Your Own Prompt
by: Ding, Xi, et al.
Published: (2025)

Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference
by: Ahmed, Sk Miraj, et al.
Published: (2026)

Promptception: How Sensitive Are Large Multimodal Models to Prompts?
by: Ismithdeen, Mohamed Insaf, et al.
Published: (2025)

Unified Multimodal Uncertain Inference
by: Zhang, Dengjia, et al.
Published: (2026)

OmniPaint: Mastering Object-Oriented Editing via Disentangled Insertion-Removal Inpainting
by: Yu, Yongsheng, et al.
Published: (2025)

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

Neural Language of Thought Models
by: Wu, Yi-Fu, et al.
Published: (2024)

Corvid: Improving Multimodal Large Language Models Towards Chain-of-Thought Reasoning
by: Jiang, Jingjing, et al.
Published: (2025)

Imagine while Reasoning in Space: Multimodal Visualization-of-Thought
by: Li, Chengzu, et al.
Published: (2025)

MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM
by: Dong, Bowen, et al.
Published: (2025)

Test-Time Multimodal Backdoor Detection by Contrastive Prompting
by: Niu, Yuwei, et al.
Published: (2024)

Rethinking Chain-of-Thought Reasoning for Videos
by: Zhong, Yiwu, et al.
Published: (2025)

Rationale-Enhanced Decoding for Multi-modal Chain-of-Thought
by: Yamaguchi, Shin'ya, et al.
Published: (2025)

Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge
by: Lin, Yuanze, et al.
Published: (2024)

ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection
by: Sun, Zhihao, et al.
Published: (2024)