Mimic In-Context Learning for Multimodal Tasks
Fuente:
arXiv
Saved in:
| Main Authors: | Jiang, Yuchu, Fu, Jiale, Hao, Chenduo, Hu, Xinting, Peng, Yingzhe, Geng, Xin, Yang, Xu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fast Large Language Model Collaborative Decoding via Speculation
by: Fu, Jiale, et al.
Published: (2025)
by: Fu, Jiale, et al.
Published: (2025)
LIVE: Learnable In-Context Vector for Visual Question Answering
by: Peng, Yingzhe, et al.
Published: (2024)
by: Peng, Yingzhe, et al.
Published: (2024)
Decomposing Representation Space into Interpretable Subspaces with Unsupervised Learning
by: Huang, Xinting, et al.
Published: (2025)
by: Huang, Xinting, et al.
Published: (2025)
Extending Test-Time Scaling: A 3D Perspective with Context, Batch, and Turn
by: Yu, Chao, et al.
Published: (2025)
by: Yu, Chao, et al.
Published: (2025)
When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning
by: Qiu, Chenghao, et al.
Published: (2026)
by: Qiu, Chenghao, et al.
Published: (2026)
Baguan-TS: A Sequence-Native In-Context Learning Model for Time Series Forecasting with Covariates
by: Yang, Linxiao, et al.
Published: (2026)
by: Yang, Linxiao, et al.
Published: (2026)
In-Context Prompting Obsoletes Agent Orchestration for Procedural Tasks
by: Dennis, Simon, et al.
Published: (2026)
by: Dennis, Simon, et al.
Published: (2026)
Can Custom Models Learn In-Context? An Exploration of Hybrid Architecture Performance on In-Context Learning Tasks
by: Campbell, Ryan, et al.
Published: (2024)
by: Campbell, Ryan, et al.
Published: (2024)
In-Context Compositional Q-Learning for Offline Reinforcement Learning
by: Xu, Qiushui, et al.
Published: (2025)
by: Xu, Qiushui, et al.
Published: (2025)
ICL-Router: In-Context Learned Model Representations for LLM Routing
by: Wang, Chenxu, et al.
Published: (2025)
by: Wang, Chenxu, et al.
Published: (2025)
Enhancing Recommendation with Denoising Auxiliary Task
by: Liu, Pengsheng, et al.
Published: (2024)
by: Liu, Pengsheng, et al.
Published: (2024)
How to Compress KV Cache in RL Post-Training? Shadow Mask Distillation for Memory-Efficient Alignment
by: Zhu, Rui, et al.
Published: (2026)
by: Zhu, Rui, et al.
Published: (2026)
Efficient UAV Swarm-Based Multi-Task Federated Learning with Dynamic Task Knowledge Sharing
by: Yang, Yubo, et al.
Published: (2025)
by: Yang, Yubo, et al.
Published: (2025)
Efficient Multi-Task Reinforcement Learning with Cross-Task Policy Guidance
by: He, Jinmin, et al.
Published: (2025)
by: He, Jinmin, et al.
Published: (2025)
When Drafts Evolve: Speculative Decoding Meets Online Learning
by: Qian, Yu-Yang, et al.
Published: (2026)
by: Qian, Yu-Yang, et al.
Published: (2026)
DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph
by: Zhao, Feng, et al.
Published: (2026)
by: Zhao, Feng, et al.
Published: (2026)
SoftMimic: Learning Compliant Whole-body Control from Examples
by: Margolis, Gabriel B., et al.
Published: (2025)
by: Margolis, Gabriel B., et al.
Published: (2025)
BCR-DRL: Behavior- and Context-aware Reward for Deep Reinforcement Learning in Human-AI Coordination
by: Hao, Xin, et al.
Published: (2024)
by: Hao, Xin, et al.
Published: (2024)
Multimodal Fusion on Low-quality Data: A Comprehensive Survey
by: Zhang, Qingyang, et al.
Published: (2024)
by: Zhang, Qingyang, et al.
Published: (2024)
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
by: Huang, Brandon, et al.
Published: (2024)
by: Huang, Brandon, et al.
Published: (2024)
Rebalanced Multimodal Learning with Data-aware Unimodal Sampling
by: Jiang, Qingyuan, et al.
Published: (2025)
by: Jiang, Qingyuan, et al.
Published: (2025)
Multimodal Representation Learning Conditioned on Semantic Relations
by: Qiao, Yang, et al.
Published: (2025)
by: Qiao, Yang, et al.
Published: (2025)
LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
by: Ruoss, Anian, et al.
Published: (2024)
by: Ruoss, Anian, et al.
Published: (2024)
BalanceBenchmark: A Survey for Multimodal Imbalance Learning
by: Xu, Shaoxuan, et al.
Published: (2025)
by: Xu, Shaoxuan, et al.
Published: (2025)
How Transformers Learn In-Context Recall Tasks? Optimality, Training Dynamics and Generalization
by: Nguyen, Quan, et al.
Published: (2025)
by: Nguyen, Quan, et al.
Published: (2025)
ICPL: Few-shot In-context Preference Learning via LLMs
by: Yu, Chao, et al.
Published: (2024)
by: Yu, Chao, et al.
Published: (2024)
Dynamic Adversarial Reinforcement Learning for Robust Multimodal Large Language Models
by: Bao, Yicheng, et al.
Published: (2026)
by: Bao, Yicheng, et al.
Published: (2026)
Can LLMs Predict Polymer Physics Just by Reading Synthesis and Processing Prose?
by: Liu, Yuchu, et al.
Published: (2026)
by: Liu, Yuchu, et al.
Published: (2026)
Model Mimic Attack: Knowledge Distillation for Provably Transferable Adversarial Examples
by: Lukyanov, Kirill, et al.
Published: (2024)
by: Lukyanov, Kirill, et al.
Published: (2024)
Multimodal Negative Learning
by: Gong, Baoquan, et al.
Published: (2025)
by: Gong, Baoquan, et al.
Published: (2025)
Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Prediction
by: Fu, En, et al.
Published: (2024)
by: Fu, En, et al.
Published: (2024)
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought
by: Huang, Sili, et al.
Published: (2024)
by: Huang, Sili, et al.
Published: (2024)
In-Context Learning for Non-Stationary MIMO Equalization
by: Jiang, Jiachen, et al.
Published: (2025)
by: Jiang, Jiachen, et al.
Published: (2025)
MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks
by: Qi, Jingyuan, et al.
Published: (2023)
by: Qi, Jingyuan, et al.
Published: (2023)
In-Context Learning in Linear vs. Quadratic Attention Models: An Empirical Study on Regression Tasks
by: Goel, Ayush, et al.
Published: (2026)
by: Goel, Ayush, et al.
Published: (2026)
Understanding the Dynamics of Demonstration Conflict in In-Context Learning
by: Jiao, Difan, et al.
Published: (2026)
by: Jiao, Difan, et al.
Published: (2026)
Federated Continual Learning via Knowledge Fusion: A Survey
by: Yang, Xin, et al.
Published: (2023)
by: Yang, Xin, et al.
Published: (2023)
Heuristic Transformer: Belief Augmented In-Context Reinforcement Learning
by: Dippel, Oliver, et al.
Published: (2025)
by: Dippel, Oliver, et al.
Published: (2025)
Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
by: He, Jinmin, et al.
Published: (2025)
by: He, Jinmin, et al.
Published: (2025)
Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork
by: Jin, Yonggang, et al.
Published: (2023)
by: Jin, Yonggang, et al.
Published: (2023)
Similar Items
-
Fast Large Language Model Collaborative Decoding via Speculation
by: Fu, Jiale, et al.
Published: (2025) -
LIVE: Learnable In-Context Vector for Visual Question Answering
by: Peng, Yingzhe, et al.
Published: (2024) -
Decomposing Representation Space into Interpretable Subspaces with Unsupervised Learning
by: Huang, Xinting, et al.
Published: (2025) -
Extending Test-Time Scaling: A 3D Perspective with Context, Batch, and Turn
by: Yu, Chao, et al.
Published: (2025) -
When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning
by: Qiu, Chenghao, et al.
Published: (2026)