Saved in:
| Main Authors: | Li, Yanshu, Cao, Yi, He, Hongyang, Cheng, Qisen, Fu, Xiang, Xiao, Xi, Wang, Tianyang, Tang, Ruixiang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.04633 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning
by: Li, Yanshu, et al.
Published: (2025)
by: Li, Yanshu, et al.
Published: (2025)
Towards Generalizable Implicit In-Context Learning with Attention Routing
by: Li, Jiaqian, et al.
Published: (2025)
by: Li, Jiaqian, et al.
Published: (2025)
Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning
by: Li, Yanshu, et al.
Published: (2025)
by: Li, Yanshu, et al.
Published: (2025)
TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration
by: Li, Yanshu, et al.
Published: (2025)
by: Li, Yanshu, et al.
Published: (2025)
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
by: Li, Yanshu
Published: (2025)
by: Li, Yanshu
Published: (2025)
TRACES: Proactive Safety Auditing for Multi-Turn LLM Agents via Trajectory-State Modeling
by: Li, Jiaqian, et al.
Published: (2026)
by: Li, Jiaqian, et al.
Published: (2026)
Beyond Editing Pairs: Fine-Grained Instructional Image Editing via Multi-Scale Learnable Regions
by: Ma, Chenrui, et al.
Published: (2025)
by: Ma, Chenrui, et al.
Published: (2025)
Read the Scene, Not the Script: Outcome-Aware Safety for LLMs
by: Wu, Rui, et al.
Published: (2025)
by: Wu, Rui, et al.
Published: (2025)
Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal Mapping
by: Zhu, Haoran, et al.
Published: (2024)
by: Zhu, Haoran, et al.
Published: (2024)
Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation
by: Xiao, Xi, et al.
Published: (2026)
by: Xiao, Xi, et al.
Published: (2026)
SaFeR-VLM: Toward Safety-aware Fine-grained Reasoning in Multimodal Models
by: Yi, Huahui, et al.
Published: (2025)
by: Yi, Huahui, et al.
Published: (2025)
Learning Unsupervised Semantic Document Representation for Fine-grained Aspect-based Sentiment Analysis
by: Fu, Hao-Ming, et al.
Published: (2024)
by: Fu, Hao-Ming, et al.
Published: (2024)
When Reward Hacking Rebounds: Understanding and Mitigating It with Representation-Level Signals
by: Wu, Rui, et al.
Published: (2026)
by: Wu, Rui, et al.
Published: (2026)
Self-Supervised Visual Prompting for Cross-Domain Road Damage Detection
by: Xiao, Xi, et al.
Published: (2025)
by: Xiao, Xi, et al.
Published: (2025)
TokenSeek: Memory Efficient Fine Tuning via Instance-Aware Token Ditching
by: Zeng, Runjia, et al.
Published: (2026)
by: Zeng, Runjia, et al.
Published: (2026)
M3LLM: Model Context Protocol-aided Mixture of Vision Experts For Multimodal LLMs in Networks
by: Zeng, Yongjie, et al.
Published: (2025)
by: Zeng, Yongjie, et al.
Published: (2025)
Athena: Efficient Block-Wise Post-Training Quantization for Large Language Models Using Second-Order Matrix Derivative Information
by: Wang, Yanshu, et al.
Published: (2024)
by: Wang, Yanshu, et al.
Published: (2024)
CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data Synthesis
by: Feng, Ruixiang, et al.
Published: (2025)
by: Feng, Ruixiang, et al.
Published: (2025)
ReLoop: "Seeing Twice and Thinking Backwards" via Closed-loop Training to Mitigate Hallucinations in Multimodal understanding
by: Yang, Jianjiang, et al.
Published: (2025)
by: Yang, Jianjiang, et al.
Published: (2025)
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting
by: Tang, Yunlong, et al.
Published: (2025)
by: Tang, Yunlong, et al.
Published: (2025)
Fine-grained Image Retrieval via Dual-Vision Adaptation
by: Jiang, Xin, et al.
Published: (2025)
by: Jiang, Xin, et al.
Published: (2025)
Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning
by: Tian, Kaibin, et al.
Published: (2024)
by: Tian, Kaibin, et al.
Published: (2024)
EvaNet: Towards More Efficient and Consistent Infrared and Visible Image Fusion Assessment
by: Cheng, Chunyang, et al.
Published: (2026)
by: Cheng, Chunyang, et al.
Published: (2026)
Multimodal Fine-grained Reasoning for Post Quality Evaluation
by: Guo, Xiaoxu, et al.
Published: (2025)
by: Guo, Xiaoxu, et al.
Published: (2025)
Identity-Aware U-Net: Fine-grained Cell Segmentation via Identity-Aware Representation Learning
by: Xiao, Rui
Published: (2026)
by: Xiao, Rui
Published: (2026)
Multimodal Fine-grained Context Interaction Graph Modeling for Conversational Speech Synthesis
by: Jia, Zhenqi, et al.
Published: (2025)
by: Jia, Zhenqi, et al.
Published: (2025)
Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation
by: Xiang, Wenzhao, et al.
Published: (2025)
by: Xiang, Wenzhao, et al.
Published: (2025)
Learning Straight Flows: Variational Flow Matching for Efficient Generation
by: Ma, Chenrui, et al.
Published: (2025)
by: Ma, Chenrui, et al.
Published: (2025)
Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach
by: Zeng, Shenglai, et al.
Published: (2025)
by: Zeng, Shenglai, et al.
Published: (2025)
Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining
by: Cheng, Qisen, et al.
Published: (2025)
by: Cheng, Qisen, et al.
Published: (2025)
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
by: Cheng, Qisen, et al.
Published: (2025)
by: Cheng, Qisen, et al.
Published: (2025)
WorldTree: Towards 4D Dynamic Worlds from Monocular Video using Tree-Chains
by: Wang, Qisen, et al.
Published: (2026)
by: Wang, Qisen, et al.
Published: (2026)
FusionAudio-1.2M: Towards Fine-grained Audio Captioning with Multimodal Contextual Fusion
by: Chen, Shunian, et al.
Published: (2025)
by: Chen, Shunian, et al.
Published: (2025)
MoPE: Mixture of Prompt Experts for Parameter-Efficient and Scalable Multimodal Fusion
by: Jiang, Ruixiang, et al.
Published: (2024)
by: Jiang, Ruixiang, et al.
Published: (2024)
FLAIR: VLM with Fine-grained Language-informed Image Representations
by: Xiao, Rui, et al.
Published: (2024)
by: Xiao, Rui, et al.
Published: (2024)
Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement
by: Feng, Yunlong, et al.
Published: (2024)
by: Feng, Yunlong, et al.
Published: (2024)
Stochastic Interpolants via Conditional Dependent Coupling
by: Ma, Chenrui, et al.
Published: (2025)
by: Ma, Chenrui, et al.
Published: (2025)
Re-Imagining Multimodal Instruction Tuning: A Representation View
by: Liu, Yiyang, et al.
Published: (2025)
by: Liu, Yiyang, et al.
Published: (2025)
MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models
by: Cao, Jie, et al.
Published: (2025)
by: Cao, Jie, et al.
Published: (2025)
Accessible Fine-grained Data Representation via Spatial Audio
by: Liu, Can, et al.
Published: (2026)
by: Liu, Can, et al.
Published: (2026)
Similar Items
-
CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning
by: Li, Yanshu, et al.
Published: (2025) -
Towards Generalizable Implicit In-Context Learning with Attention Routing
by: Li, Jiaqian, et al.
Published: (2025) -
Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning
by: Li, Yanshu, et al.
Published: (2025) -
TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration
by: Li, Yanshu, et al.
Published: (2025) -
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
by: Li, Yanshu
Published: (2025)