Dynamic Demonstrations Controller for In-Context Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhao, Fei, Pang, Taotian, Wu, Zhen, Ma, Zheng, Huang, Shujian, Dai, Xinyu |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
AlignGPT: Multi-modal Large Language Models with Adaptive Alignment Capability
por: Zhao, Fei, et al.
Publicado: (2024)
por: Zhao, Fei, et al.
Publicado: (2024)
Demonstration Selection for In-Context Learning via Reinforcement Learning
por: Wang, Xubin, et al.
Publicado: (2024)
por: Wang, Xubin, et al.
Publicado: (2024)
In-Context Learning with Iterative Demonstration Selection
por: Qin, Chengwei, et al.
Publicado: (2023)
por: Qin, Chengwei, et al.
Publicado: (2023)
Rectifying Demonstration Shortcut in In-Context Learning
por: Jang, Joonwon, et al.
Publicado: (2024)
por: Jang, Joonwon, et al.
Publicado: (2024)
Persona-Aware Alignment Framework for Personalized Dialogue Generation
por: Li, Guanrong, et al.
Publicado: (2025)
por: Li, Guanrong, et al.
Publicado: (2025)
Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning
por: Zhu, Wenhao, et al.
Publicado: (2025)
por: Zhu, Wenhao, et al.
Publicado: (2025)
Comparable Demonstrations are Important in In-Context Learning: A Novel Perspective on Demonstration Selection
por: Fan, Caoyun, et al.
Publicado: (2023)
por: Fan, Caoyun, et al.
Publicado: (2023)
Beyond Demonstrations: Dynamic Vector Construction from Latent Representations
por: Cai, Wang, et al.
Publicado: (2025)
por: Cai, Wang, et al.
Publicado: (2025)
Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps
por: Liu, Fuxiao, et al.
Publicado: (2023)
por: Liu, Fuxiao, et al.
Publicado: (2023)
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis
por: Zhang, Miaoran, et al.
Publicado: (2024)
por: Zhang, Miaoran, et al.
Publicado: (2024)
DemoShapley: Valuation of Demonstrations for In-Context Learning
por: Xie, Shan, et al.
Publicado: (2024)
por: Xie, Shan, et al.
Publicado: (2024)
Demonstration Notebook: Finding the Most Suited In-Context Learning Example from Interactions
por: Tang, Yiming, et al.
Publicado: (2024)
por: Tang, Yiming, et al.
Publicado: (2024)
Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning
por: Liu, Hui, et al.
Publicado: (2024)
por: Liu, Hui, et al.
Publicado: (2024)
Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning
por: Som, Anirudh, et al.
Publicado: (2023)
por: Som, Anirudh, et al.
Publicado: (2023)
Optimizing In-Context Demonstrations for LLM-based Automated Grading
por: Chu, Yucheng, et al.
Publicado: (2026)
por: Chu, Yucheng, et al.
Publicado: (2026)
Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval
por: Xu, Hao, et al.
Publicado: (2026)
por: Xu, Hao, et al.
Publicado: (2026)
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
por: Xu, Nan, et al.
Publicado: (2024)
por: Xu, Nan, et al.
Publicado: (2024)
Comparative Analysis of Demonstration Selection Algorithms for LLM In-Context Learning
por: Shu, Dong, et al.
Publicado: (2024)
por: Shu, Dong, et al.
Publicado: (2024)
CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering
por: Zhao, Yang, et al.
Publicado: (2025)
por: Zhao, Yang, et al.
Publicado: (2025)
Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models
por: Wen, Xumeng, et al.
Publicado: (2025)
por: Wen, Xumeng, et al.
Publicado: (2025)
Measuring Meaning Composition in the Human Brain with Composition Scores from Large Language Models
por: Gao, Changjiang, et al.
Publicado: (2024)
por: Gao, Changjiang, et al.
Publicado: (2024)
AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models
por: Zhang, Qianchi, et al.
Publicado: (2024)
por: Zhang, Qianchi, et al.
Publicado: (2024)
D-GARA: A Dynamic Benchmarking Framework for GUI Agent Robustness in Real-World Anomalies
por: Chen, Sen, et al.
Publicado: (2025)
por: Chen, Sen, et al.
Publicado: (2025)
Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning
por: Wu, Yuhang, et al.
Publicado: (2026)
por: Wu, Yuhang, et al.
Publicado: (2026)
Extroversion or Introversion? Controlling The Personality of Your Large Language Models
por: Chen, Yanquan, et al.
Publicado: (2024)
por: Chen, Yanquan, et al.
Publicado: (2024)
Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning
por: Ma, Xuetao, et al.
Publicado: (2025)
por: Ma, Xuetao, et al.
Publicado: (2025)
Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation
por: Zhang, Ziniu, et al.
Publicado: (2025)
por: Zhang, Ziniu, et al.
Publicado: (2025)
ACC: Compiling Agent Trajectories for Long-Context Training
por: Su, Qisheng, et al.
Publicado: (2026)
por: Su, Qisheng, et al.
Publicado: (2026)
Babysit A Language Model From Scratch: Interactive Language Learning by Trials and Demonstrations
por: Ma, Ziqiao, et al.
Publicado: (2024)
por: Ma, Ziqiao, et al.
Publicado: (2024)
Meta-Sel: Efficient Demonstration Selection for In-Context Learning via Supervised Meta-Learning
por: Wang, Xubin, et al.
Publicado: (2026)
por: Wang, Xubin, et al.
Publicado: (2026)
Context-level Language Modeling by Learning Predictive Context Embeddings
por: Dai, Beiya, et al.
Publicado: (2025)
por: Dai, Beiya, et al.
Publicado: (2025)
Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation
por: Huang, Xu, et al.
Publicado: (2024)
por: Huang, Xu, et al.
Publicado: (2024)
Learn to Select: Exploring Label Distribution Divergence for In-Context Demonstration Selection in Text Classification
por: Jiang, Ye, et al.
Publicado: (2025)
por: Jiang, Ye, et al.
Publicado: (2025)
The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation
por: Wang, Lei, et al.
Publicado: (2024)
por: Wang, Lei, et al.
Publicado: (2024)
Retrieval Meets Reasoning: Dynamic In-Context Editing for Long-Text Understanding
por: Fei, Weizhi, et al.
Publicado: (2024)
por: Fei, Weizhi, et al.
Publicado: (2024)
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
por: Wang, Jianing, et al.
Publicado: (2023)
por: Wang, Jianing, et al.
Publicado: (2023)
Switchable Decision: Dynamic Neural Generation Networks
por: Zhang, Shujian, et al.
Publicado: (2024)
por: Zhang, Shujian, et al.
Publicado: (2024)
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
por: Wang, Xinyi, et al.
Publicado: (2023)
por: Wang, Xinyi, et al.
Publicado: (2023)
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
por: Lang, Hao, et al.
Publicado: (2023)
por: Lang, Hao, et al.
Publicado: (2023)
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
por: Li, Yanshu
Publicado: (2025)
por: Li, Yanshu
Publicado: (2025)
Ejemplares similares
-
AlignGPT: Multi-modal Large Language Models with Adaptive Alignment Capability
por: Zhao, Fei, et al.
Publicado: (2024) -
Demonstration Selection for In-Context Learning via Reinforcement Learning
por: Wang, Xubin, et al.
Publicado: (2024) -
In-Context Learning with Iterative Demonstration Selection
por: Qin, Chengwei, et al.
Publicado: (2023) -
Rectifying Demonstration Shortcut in In-Context Learning
por: Jang, Joonwon, et al.
Publicado: (2024) -
Persona-Aware Alignment Framework for Personalized Dialogue Generation
por: Li, Guanrong, et al.
Publicado: (2025)