Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Yanshu, Yang, Jianjiang, Yang, Ziteng, Li, Bozheng, Han, Ligong, He, Hongyang, Yao, Zhengtao, Chen, Yingjie Victor, Fei, Songlin, Liu, Dongfang, Tang, Ruixiang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| 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)
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)
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)
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
by: Li, Yanshu
Published: (2025)
by: Li, Yanshu
Published: (2025)
M$^2$IV: Towards Efficient and Fine-grained Multimodal In-Context Learning via Representation Engineering
by: Li, Yanshu, et al.
Published: (2025)
by: Li, Yanshu, et al.
Published: (2025)
Steering Vector Fields for Context-Aware Inference-Time Control in Large Language Models
by: Li, Jiaqian, et al.
Published: (2026)
by: Li, Jiaqian, et al.
Published: (2026)
Focus Directions Make Your Language Models Pay More Attention to Relevant Contexts
by: Zhu, Youxiang, et al.
Published: (2025)
by: Zhu, Youxiang, et al.
Published: (2025)
Taming the Tri-Space Tension: ARC-Guided Hallucination Modeling and Control for Text-to-Image Generation
by: Yang, Jianjiang, et al.
Published: (2025)
by: Yang, Jianjiang, et al.
Published: (2025)
Why LVLMs Are More Prone to Hallucinations in Longer Responses: The Role of Context
by: Zheng, Ge, et al.
Published: (2025)
by: Zheng, Ge, et al.
Published: (2025)
CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions
by: Liao, Haicheng, et al.
Published: (2024)
by: Liao, Haicheng, et al.
Published: (2024)
Making Long-Context Language Models Better Multi-Hop Reasoners
by: Li, Yanyang, et al.
Published: (2024)
by: Li, Yanyang, et al.
Published: (2024)
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)
Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer
by: Hu, Xinshuo, et al.
Published: (2024)
by: Hu, Xinshuo, et al.
Published: (2024)
Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference
by: Qiu, Quantong, et al.
Published: (2026)
by: Qiu, Quantong, et al.
Published: (2026)
ViP$^2$-CLIP: Visual-Perception Prompting with Unified Alignment for Zero-Shot Anomaly Detection
by: Yang, Ziteng, et al.
Published: (2025)
by: Yang, Ziteng, et al.
Published: (2025)
Context-Aware Multimodal Pretraining
by: Roth, Karsten, et al.
Published: (2024)
by: Roth, Karsten, et al.
Published: (2024)
MuDAF: Long-Context Multi-Document Attention Focusing through Contrastive Learning on Attention Heads
by: Liu, Weihao, et al.
Published: (2025)
by: Liu, Weihao, et al.
Published: (2025)
Context-Aware Network Based on Multi-scale Spatio-temporal Attention for Action Recognition in Videos
by: Li, Xiaoyang, et al.
Published: (2025)
by: Li, Xiaoyang, et al.
Published: (2025)
DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators
by: Lyu, Xinglin, et al.
Published: (2024)
by: Lyu, Xinglin, et al.
Published: (2024)
AttenTrack: Mobile User Attention Awareness Based on Context and External Distractions
by: Lin, Yutong, et al.
Published: (2025)
by: Lin, Yutong, et al.
Published: (2025)
Bridging Natural Language and Microgrid Dynamics: A Context-Aware Simulator and Dataset
by: Bartels, Tinko Sebastian, et al.
Published: (2026)
by: Bartels, Tinko Sebastian, et al.
Published: (2026)
CoMemo: LVLMs Need Image Context with Image Memory
by: Liu, Shi, et al.
Published: (2025)
by: Liu, Shi, et al.
Published: (2025)
Focus-dLLM: Accelerating Long-Context Diffusion LLM Inference via Confidence-Guided Context Focusing
by: Long, Lingkun, et al.
Published: (2026)
by: Long, Lingkun, et al.
Published: (2026)
Attention to details, logits to truth: visual-aware attention and logits enhancement to mitigate hallucinations in LVLMs
by: Wang, Jingyi, et al.
Published: (2026)
by: Wang, Jingyi, et al.
Published: (2026)
See Different, Think Better: Visual Variations Mitigating Hallucinations in LVLMs
by: Dai, Ziyun, et al.
Published: (2025)
by: Dai, Ziyun, et al.
Published: (2025)
CODIS: Benchmarking Context-Dependent Visual Comprehension for Multimodal Large Language Models
by: Luo, Fuwen, et al.
Published: (2024)
by: Luo, Fuwen, et al.
Published: (2024)
AdaptiSent: Context-Aware Adaptive Attention for Multimodal Aspect-Based Sentiment Analysis
by: Rafiuddin, S M, et al.
Published: (2025)
by: Rafiuddin, S M, et al.
Published: (2025)
LycheeCluster: Efficient Long-Context Inference with Structure-Aware Chunking and Hierarchical KV Indexing
by: Li, Dongfang, et al.
Published: (2026)
by: Li, Dongfang, et al.
Published: (2026)
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)
StreetReaderAI: Making Street View Accessible Using Context-Aware Multimodal AI
by: Froehlich, Jon E., et al.
Published: (2025)
by: Froehlich, Jon E., et al.
Published: (2025)
True Multimodal In-Context Learning Needs Attention to the Visual Context
by: Chen, Shuo, et al.
Published: (2025)
by: Chen, Shuo, et al.
Published: (2025)
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners
by: Luo, Yun, et al.
Published: (2023)
by: Luo, Yun, et al.
Published: (2023)
Culture-Aware Humorous Captioning: Multimodal Humor Generation across Cultural Contexts
by: Xu, Run, et al.
Published: (2026)
by: Xu, Run, et al.
Published: (2026)
FinGPT: Enhancing Sentiment-Based Stock Movement Prediction with Dissemination-Aware and Context-Enriched LLMs
by: Liang, Yixuan, et al.
Published: (2024)
by: Liang, Yixuan, et al.
Published: (2024)
Context-Aware Multi-Turn Visual-Textual Reasoning in LVLMs via Dynamic Memory and Adaptive Visual Guidance
by: Shen, Weijie, et al.
Published: (2025)
by: Shen, Weijie, et al.
Published: (2025)
Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification
by: Liu, Shang, et al.
Published: (2024)
by: Liu, Shang, et al.
Published: (2024)
Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition
by: Li, Bozheng, et al.
Published: (2024)
by: Li, Bozheng, et al.
Published: (2024)
TokenFocus-VQA: Enhancing Text-to-Image Alignment with Position-Aware Focus and Multi-Perspective Aggregations on LVLMs
by: Zhang, Zijian, et al.
Published: (2025)
by: Zhang, Zijian, et al.
Published: (2025)
Learning Video Context as Interleaved Multimodal Sequences
by: Lin, Kevin Qinghong, et al.
Published: (2024)
by: Lin, Kevin Qinghong, et al.
Published: (2024)
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) -
TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration
by: Li, Yanshu, 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) -
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
by: Li, Yanshu
Published: (2025)