Commander-GPT: Fully Unleashing the Sarcasm Detection Capability of Multi-Modal Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Yazhou, Zou, Chunwang, Wang, Bo, Qin, Jing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection
by: Zhang, Yazhou, et al.
Published: (2025)
by: Zhang, Yazhou, et al.
Published: (2025)
SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding
by: Zhang, Yazhou, et al.
Published: (2024)
by: Zhang, Yazhou, et al.
Published: (2024)
WundtGPT: Shaping Large Language Models To Be An Empathetic, Proactive Psychologist
by: Ren, Chenyu, et al.
Published: (2024)
by: Ren, Chenyu, et al.
Published: (2024)
NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language Models
by: Zhou, Gengze, et al.
Published: (2024)
by: Zhou, Gengze, et al.
Published: (2024)
Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?
by: Yao, Ben, et al.
Published: (2024)
by: Yao, Ben, et al.
Published: (2024)
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models
by: Lv, Yaojia, et al.
Published: (2024)
by: Lv, Yaojia, et al.
Published: (2024)
ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation
by: Tang, Zihao, et al.
Published: (2024)
by: Tang, Zihao, et al.
Published: (2024)
MiCU: End-to-End Smart Home Command Understanding with Large Language Model
by: Han, Haowei, et al.
Published: (2026)
by: Han, Haowei, et al.
Published: (2026)
Sarcasm Detection as a Catalyst: Improving Stance Detection with Cross-Target Capabilities
by: Hong, Gibson Nkhata Shi Yin, et al.
Published: (2025)
by: Hong, Gibson Nkhata Shi Yin, et al.
Published: (2025)
Chain of Stance: Stance Detection with Large Language Models
by: Ma, Junxia, et al.
Published: (2024)
by: Ma, Junxia, et al.
Published: (2024)
Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning
by: Qiu, Ziqi, et al.
Published: (2024)
by: Qiu, Ziqi, et al.
Published: (2024)
AlignGPT: Multi-modal Large Language Models with Adaptive Alignment Capability
by: Zhao, Fei, et al.
Published: (2024)
by: Zhao, Fei, et al.
Published: (2024)
VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models
by: Li, Zejun, et al.
Published: (2024)
by: Li, Zejun, et al.
Published: (2024)
MALM: A Multi-Information Adapter for Large Language Models to Mitigate Hallucination
by: Jia, Ao, et al.
Published: (2025)
by: Jia, Ao, et al.
Published: (2025)
IIMedGPT: Promoting Large Language Model Capabilities of Medical Tasks by Efficient Human Preference Alignment
by: Zhang, Yiming, et al.
Published: (2025)
by: Zhang, Yiming, et al.
Published: (2025)
Command A: An Enterprise-Ready Large Language Model
by: Cohere, Team, et al.
Published: (2025)
by: Cohere, Team, et al.
Published: (2025)
Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models
by: Zhang, Che, et al.
Published: (2024)
by: Zhang, Che, et al.
Published: (2024)
Context-Aware Pragmatic Metacognitive Prompting for Sarcasm Detection
by: Iskandardinata, Michael, et al.
Published: (2025)
by: Iskandardinata, Michael, et al.
Published: (2025)
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence
by: Zhang, Xingxuan, et al.
Published: (2025)
by: Zhang, Xingxuan, et al.
Published: (2025)
MuSaG: A Multimodal German Sarcasm Dataset with Full-Modal Annotations
by: Scott, Aaron, et al.
Published: (2025)
by: Scott, Aaron, et al.
Published: (2025)
Intermediate-Task Transfer Learning: Leveraging Sarcasm Detection for Stance Detection
by: Nkhata, Gibson, et al.
Published: (2025)
by: Nkhata, Gibson, et al.
Published: (2025)
GP-GPT: Large Language Model for Gene-Phenotype Mapping
by: Lyu, Yanjun, et al.
Published: (2024)
by: Lyu, Yanjun, et al.
Published: (2024)
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models
by: Zhang, Yongheng, et al.
Published: (2025)
by: Zhang, Yongheng, et al.
Published: (2025)
SMAR: Soft Modality-Aware Routing Strategy for MoE-based Multimodal Large Language Models Preserving Language Capabilities
by: Xia, Guoyang, et al.
Published: (2025)
by: Xia, Guoyang, et al.
Published: (2025)
CFMS: Towards Explainable and Fine-Grained Chinese Multimodal Sarcasm Detection Benchmark
by: Zhang, Junzhao, et al.
Published: (2026)
by: Zhang, Junzhao, et al.
Published: (2026)
A GAN and LLM-Driven Data Augmentation Framework for Dynamic Linguistic Pattern Modeling in Chinese Sarcasm Detection
by: Wang, Wenxian, et al.
Published: (2026)
by: Wang, Wenxian, et al.
Published: (2026)
Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQ
by: Holtermann, Carolin, et al.
Published: (2024)
by: Holtermann, Carolin, et al.
Published: (2024)
Table as a Modality for Large Language Models
by: Li, Liyao, et al.
Published: (2025)
by: Li, Liyao, et al.
Published: (2025)
A Review of Multi-Modal Large Language and Vision Models
by: Carolan, Kilian, et al.
Published: (2024)
by: Carolan, Kilian, et al.
Published: (2024)
KoCoSa: Korean Context-aware Sarcasm Detection Dataset
by: Kim, Yumin, et al.
Published: (2024)
by: Kim, Yumin, et al.
Published: (2024)
Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration
by: Wang, Zhenhailong, et al.
Published: (2023)
by: Wang, Zhenhailong, et al.
Published: (2023)
Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models
by: Sun, Haoyuan, et al.
Published: (2025)
by: Sun, Haoyuan, et al.
Published: (2025)
Intrusion Detection at Scale with the Assistance of a Command-line Language Model
by: Lin, Jiongliang, et al.
Published: (2024)
by: Lin, Jiongliang, et al.
Published: (2024)
Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models
by: Zhuo, Zhijian, et al.
Published: (2024)
by: Zhuo, Zhijian, et al.
Published: (2024)
IRONIC: Coherence-Aware Reasoning Chains for Multi-Modal Sarcasm Detection
by: Ramakrishnan, Aashish Anantha, et al.
Published: (2025)
by: Ramakrishnan, Aashish Anantha, et al.
Published: (2025)
Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch
by: Ding, Yuyang, et al.
Published: (2024)
by: Ding, Yuyang, et al.
Published: (2024)
EyeGPT: Ophthalmic Assistant with Large Language Models
by: Chen, Xiaolan, et al.
Published: (2024)
by: Chen, Xiaolan, et al.
Published: (2024)
Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models
by: Lin, Hongzhan, et al.
Published: (2024)
by: Lin, Hongzhan, et al.
Published: (2024)
MuBench: Assessment of Multilingual Capabilities of Large Language Models Across 61 Languages
by: Han, Wenhan, et al.
Published: (2025)
by: Han, Wenhan, et al.
Published: (2025)
PC-MNet: Dual-Level Congruity Modeling for Multimodal Sarcasm Detection via Polarity-Modulated Attention
by: Li, Maoheng, et al.
Published: (2026)
by: Li, Maoheng, et al.
Published: (2026)
Similar Items
-
Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection
by: Zhang, Yazhou, et al.
Published: (2025) -
SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding
by: Zhang, Yazhou, et al.
Published: (2024) -
WundtGPT: Shaping Large Language Models To Be An Empathetic, Proactive Psychologist
by: Ren, Chenyu, et al.
Published: (2024) -
NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language Models
by: Zhou, Gengze, et al.
Published: (2024) -
Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?
by: Yao, Ben, et al.
Published: (2024)