Copertina

Concept Drift Guided LayerNorm Tuning for Efficient Multimodal Metaphor Identification

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Qian, Wenhao, Hu, Zhenzhen, Song, Zijie, Li, Jia
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Multimedia Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

To Fuse or to Drop? Dual-Path Learning for Resolving Modality Conflicts in Multimodal Emotion Recognition
di: Yu, Yangchen, et al.
Pubblicazione: (2026)

Balanced Multimodal Learning: An Unidirectional Dynamic Interaction Perspective
di: Wang, Shijie, et al.
Pubblicazione: (2025)

Geometry and Dynamics of LayerNorm
di: Riechers, Paul M.
Pubblicazione: (2024)

Multimodal Representation Learning and Fusion
di: Jin, Qihang, et al.
Pubblicazione: (2025)

Listening to the Unspoken: Exploring "365" Aspects of Multimodal Interview Performance Assessment
di: Li, Jia, et al.
Pubblicazione: (2025)

L3GS: Layered 3D Gaussian Splats for Efficient 3D Scene Delivery
di: Tsai, Yi-Zhen, et al.
Pubblicazione: (2025)

FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models
di: Zhang, Yao, et al.
Pubblicazione: (2025)

On the Role of Attention Masks and LayerNorm in Transformers
di: Wu, Xinyi, et al.
Pubblicazione: (2024)

HyperFusion: Hierarchical Multimodal Ensemble Learning for Social Media Popularity Prediction
di: Ye, Liliang, et al.
Pubblicazione: (2025)

Exploring Modality Disruption in Multimodal Fake News Detection
di: Liu, Moyang, et al.
Pubblicazione: (2025)

Hybrid Feedback-Guided Optimal Learning for Wireless Interactive Panoramic Scene Delivery
di: Wu, Xiaoyi, et al.
Pubblicazione: (2026)

Transformers Don't Need LayerNorm at Inference Time: Scaling LayerNorm Removal to GPT-2 XL and the Implications for Mechanistic Interpretability
di: Baroni, Luca, et al.
Pubblicazione: (2025)

Deconfounded Reasoning for Multimodal Fake News Detection via Causal Intervention
di: Liu, Moyang, et al.
Pubblicazione: (2025)

Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition
di: Zhou, Qianrui, et al.
Pubblicazione: (2023)

Hyper-modal Imputation Diffusion Embedding with Dual-Distillation for Federated Multimodal Knowledge Graph Completion
di: Zhang, Ying, et al.
Pubblicazione: (2025)

Zero-Shot Relational Learning for Multimodal Knowledge Graphs
di: Cai, Rui, et al.
Pubblicazione: (2024)

MCAD: Multimodal Context-Aware Audio Description Generation For Soccer
di: Chaudhary, Lipisha, et al.
Pubblicazione: (2025)

MCIGLE: Multimodal Exemplar-Free Class-Incremental Graph Learning
di: You, Haochen, et al.
Pubblicazione: (2025)

To Align or Not to Align: Strategic Multimodal Representation Alignment for Optimal Performance
di: Fang, Wanlong, et al.
Pubblicazione: (2025)

Cross-Space Synergy: A Unified Framework for Multimodal Emotion Recognition in Conversation
di: Lyu, Xiaosen, et al.
Pubblicazione: (2025)

Multimodal Methods for Analyzing Learning and Training Environments: A Systematic Literature Review
di: Cohn, Clayton, et al.
Pubblicazione: (2024)

GAME-ON: Graph Attention Network based Multimodal Fusion for Fake News Detection
di: Dhawan, Mudit, et al.
Pubblicazione: (2022)

Stable Multimodal Graph Unlearning via Feature-Dimension Aware Quantile Selection
di: Zhou, Jingjing, et al.
Pubblicazione: (2026)

SLaNC: Static LayerNorm Calibration
di: Salmani, Mahsa, et al.
Pubblicazione: (2024)

PrismSSL: One Interface, Many Modalities; A Single-Interface Library for Multimodal Self-Supervised Learning
di: Shirian, Melika, et al.
Pubblicazione: (2025)

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection
di: Wu, Junjie, et al.
Pubblicazione: (2025)

LayerNorm Induces Recency Bias in Transformer Decoders
di: Kim, Junu, et al.
Pubblicazione: (2025)

Atom: Efficient On-Device Video-Language Pipelines Through Modular Reuse
di: Panchal, Kunjal, et al.
Pubblicazione: (2025)

Efficient Distributed Training through Gradient Compression with Sparsification and Quantization Techniques
di: Singh, Shruti, et al.
Pubblicazione: (2024)

Enhancing Modality Representation and Alignment for Multimodal Cold-start Active Learning
di: Shen, Meng, et al.
Pubblicazione: (2024)

OmniMER: Auxiliary-Enhanced LLM Adaptation for Indonesian Multimodal Emotion Recognition
di: Yan, Xueming, et al.
Pubblicazione: (2025)

Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators
di: Novack, Zachary, et al.
Pubblicazione: (2026)

Training Data Efficiency in Multimodal Process Reward Models
di: Li, Jinyuan, et al.
Pubblicazione: (2026)

CLAIP-Emo: Parameter-Efficient Adaptation of Language-supervised models for In-the-Wild Audiovisual Emotion Recognition
di: Chen, Yin, et al.
Pubblicazione: (2025)

ChemDFM-X: Towards Large Multimodal Model for Chemistry
di: Zhao, Zihan, et al.
Pubblicazione: (2024)

Enhancing Cross-Prompt Transferability in Vision-Language Models through Contextual Injection of Target Tokens
di: Yang, Xikang, et al.
Pubblicazione: (2024)

Traits Run Deep: Enhancing Personality Assessment via Psychology-Guided LLM Representations and Multimodal Apparent Behaviors
di: Li, Jia, et al.
Pubblicazione: (2025)

Post-LayerNorm Is Back: Stable, ExpressivE, and Deep
di: Chen, Chen, et al.
Pubblicazione: (2026)

Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification
di: Qin, Yang, et al.
Pubblicazione: (2025)

InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals
di: Kimura, Tomoyoshi, et al.
Pubblicazione: (2025)