Imagen de Portada

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Jiang, Yubo, An, Yitong, Yang, Xin, Wuerkaixi, Abudukelimu, Cheng, Xuxin, Xie, Fengying, Jiang, Zhiguo, Liu, Cao, Zeng, Ke, Zhang, Haopeng
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

V-tableR1: Process-Supervised Multimodal Table Reasoning with Critic-Guided Policy Optimization
por: Jiang, Yubo, et al.
Publicado: (2026)

Global Context or Local Detail? Adaptive Visual Grounding for Hallucination Mitigation
por: Jiang, Yubo, et al.
Publicado: (2026)

Towards Self-Robust LLMs: Intrinsic Prompt Noise Resistance via CoIPO
por: Yang, Xin, et al.
Publicado: (2026)

AutothinkRAG: Complexity-Aware Control of Retrieval-Augmented Reasoning for Image-Text Interaction
por: Yang, Jiashu, et al.
Publicado: (2026)

Pan-cancer Histopathology WSI Pre-training with Position-aware Masked Autoencoder
por: Wu, Kun, et al.
Publicado: (2024)

Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation
por: Zhang, Honglei, et al.
Publicado: (2024)

Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning
por: Yang, Danni, et al.
Publicado: (2025)

Balancing Similarity and Complementarity for Federated Learning
por: Yan, Kunda, et al.
Publicado: (2024)

When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training
por: Wang, Haonan, et al.
Publicado: (2024)

Speculative Decoding: Performance or Illusion?
por: Liu, Xiaoxuan, et al.
Publicado: (2025)

Is New Technology Worth It? Exploring Positive and Negative Effects When New Technology Meets Consumers
por: Philipp Brüggemann, et al.
Publicado: (2025)

Silo-Bench: A Scalable Environment for Evaluating Distributed Coordination in Multi-Agent LLM Systems
por: Zhang, Yuzhe, et al.
Publicado: (2026)

Break the Visual Perception: Adversarial Attacks Targeting Encoded Visual Tokens of Large Vision-Language Models
por: Wang, Yubo, et al.
Publicado: (2024)

Accurate Forgetting for Heterogeneous Federated Continual Learning
por: Wuerkaixi, Abudukelimu, et al.
Publicado: (2025)

Breaking the Illusion of Identity in LLM Tooling
por: Miller, Marek
Publicado: (2026)

When Drafts Evolve: Speculative Decoding Meets Online Learning
por: Qian, Yu-Yang, et al.
Publicado: (2026)

When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
por: Jiang, Wenzhao, et al.
Publicado: (2023)

Breaking the Illusion: Consensus-Based Generative Mitigation of Adversarial Illusions in Multi-Modal Embeddings
por: Akbarian, Fatemeh, et al.
Publicado: (2025)

Where the Illusion of Dark Energy Must Break
por: Eric D. Mize
Publicado: (2026)

Autoregressive Image Generation with Randomized Parallel Decoding
por: Li, Haopeng, et al.
Publicado: (2025)

DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding
por: Zhou, Jiaming, et al.
Publicado: (2026)

FADE: A Task-Agnostic Upsampling Operator for Encoder-Decoder Architectures
por: Lu, Hao, et al.
Publicado: (2024)

Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
por: Zhang, Yilan, et al.
Publicado: (2024)

Learning without Isolation: Pathway Protection for Continual Learning
por: Chen, Zhikang, et al.
Publicado: (2025)

Reflecting Twice before Speaking with Empathy: Self-Reflective Alternating Inference for Empathy-Aware End-to-End Spoken Dialogue
por: Jia, Yuhang, et al.
Publicado: (2026)

Invariant Representation Guided Multimodal Sentiment Decoding with Sequential Variation Regularization
por: Xu, Guoyang, et al.
Publicado: (2024)

Coherent Phonon Negative Refraction via Interfacial Momentum Compensation
por: Chen, Hao, et al.
Publicado: (2025)

HAVEN: Hierarchically Aligned Multimodal Benchmark for Unified Video Understanding
por: Shi, Mengqi, et al.
Publicado: (2026)

When MLLMs Meet Compression Distortion: A Coding Paradigm Tailored to MLLMs
por: Liu, Jinming, et al.
Publicado: (2025)

When Trust Collides: Decoding Human-LLM Cooperation Dynamics through the Prisoner's Dilemma
por: Jiang, Guanxuan, et al.
Publicado: (2025)

When Learning Meets Dynamics: Distributed User Connectivity Maximization in UAV-Based Communication Networks
por: Li, Bowei, et al.
Publicado: (2024)

Social Catalysts, Not Moral Agents: The Illusion of Alignment in LLM Societies
por: Hu, Yueqing, et al.
Publicado: (2026)

When Visual Privacy Protection Meets Multimodal Large Language Models
por: Hui, Xiaofei, et al.
Publicado: (2026)

The Pomegranate Flower Water Extract Negatively Regulates Melanogenesis by Suppressing MITF Expression and Its Target Enzymes
por: Peng Shu, et al.
Publicado: (2025)

Rethinking the adaptive relationship between Encoder Layers and Decoder Layers
por: Song, Yubo
Publicado: (2024)

A System-View Optimal Additional Active Power Control of Wind Turbines for Grid Frequency Support
por: Zhang, Yubo, et al.
Publicado: (2026)

Model-Free Fast Frequency Support of Wind Farms for Tracking Optimal Frequency Trajectory
por: Zhang, Yubo, et al.
Publicado: (2026)

Multimodal Negative Learning
por: Gong, Baoquan, et al.
Publicado: (2025)

DiffATR: Diffusion-based Generative Modeling for Audio-Text Retrieval
por: Xin, Yifei, et al.
Publicado: (2024)

Audio-text Retrieval with Transformer-based Hierarchical Alignment and Disentangled Cross-modal Representation
por: Xin, Yifei, et al.
Publicado: (2024)