Guardado en:
| Autores principales: | Wang, Zhe, Wang, Haozhu, Qi, Yanjun |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2412.00979 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Prompting Decision Transformers for Zero-Shot Reach-Avoid Policies
por: Li, Kevin, et al.
Publicado: (2025)
por: Li, Kevin, et al.
Publicado: (2025)
Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization
por: Hu, Shengchao, et al.
Publicado: (2024)
por: Hu, Shengchao, et al.
Publicado: (2024)
A Closer Look at Adversarial Suffix Learning for Jailbreaking LLMs: Augmented Adversarial Trigger Learning
por: Wang, Zhe, et al.
Publicado: (2025)
por: Wang, Zhe, et al.
Publicado: (2025)
Multi-Operator Few-Shot Learning for Generalization Across PDE Families
por: Li, Yile, et al.
Publicado: (2025)
por: Li, Yile, et al.
Publicado: (2025)
Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer
por: Yang, Yu, et al.
Publicado: (2024)
por: Yang, Yu, et al.
Publicado: (2024)
SGPT: Few-Shot Prompt Tuning for Signed Graphs
por: Zhai, Zian, et al.
Publicado: (2024)
por: Zhai, Zian, et al.
Publicado: (2024)
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
por: Liu, Chenxi, et al.
Publicado: (2024)
por: Liu, Chenxi, et al.
Publicado: (2024)
Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Generation for Few-shot Learning
por: Li, Chengzhengxu, et al.
Publicado: (2023)
por: Li, Chengzhengxu, et al.
Publicado: (2023)
OptoGPT: A Foundation Model for Inverse Design in Optical Multilayer Thin Film Structures
por: Ma, Taigao, et al.
Publicado: (2023)
por: Ma, Taigao, et al.
Publicado: (2023)
Few-Shot Vision-Language Action-Incremental Policy Learning
por: Song, Mingchen, et al.
Publicado: (2025)
por: Song, Mingchen, et al.
Publicado: (2025)
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks
por: Paeedeh, Naeem, et al.
Publicado: (2024)
por: Paeedeh, Naeem, et al.
Publicado: (2024)
A Minimalist Prompt for Zero-Shot Policy Learning
por: Song, Meng, et al.
Publicado: (2024)
por: Song, Meng, et al.
Publicado: (2024)
MMSE-Calibrated Few-Shot Prompting for Alzheimer's Detection
por: Sweidan, Jana, et al.
Publicado: (2025)
por: Sweidan, Jana, et al.
Publicado: (2025)
Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations
por: Hamman, Faisal, et al.
Publicado: (2025)
por: Hamman, Faisal, et al.
Publicado: (2025)
Graph Neural Prompting with Large Language Models
por: Tian, Yijun, et al.
Publicado: (2023)
por: Tian, Yijun, et al.
Publicado: (2023)
Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance
por: Yan, Kai, et al.
Publicado: (2026)
por: Yan, Kai, et al.
Publicado: (2026)
Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering
por: Gupta, Akash, et al.
Publicado: (2025)
por: Gupta, Akash, et al.
Publicado: (2025)
Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection
por: Peng, Songtao, et al.
Publicado: (2025)
por: Peng, Songtao, et al.
Publicado: (2025)
Few-Shot Learning with Adaptive Weight Masking in Conditional GANs
por: Hu, Jiacheng, et al.
Publicado: (2024)
por: Hu, Jiacheng, et al.
Publicado: (2024)
Few-Shot Inspired Generative Zero-Shot Learning
por: Shohag, Md Shakil Ahamed, et al.
Publicado: (2025)
por: Shohag, Md Shakil Ahamed, et al.
Publicado: (2025)
Prompt-Tuning Bandits: Enabling Few-Shot Generalization for Efficient Multi-Task Offline RL
por: Rietz, Finn, et al.
Publicado: (2025)
por: Rietz, Finn, et al.
Publicado: (2025)
Less is More for Improving Automatic Evaluation of Factual Consistency
por: Wang, Tong, et al.
Publicado: (2024)
por: Wang, Tong, et al.
Publicado: (2024)
BATR-FST: Bi-Level Adaptive Token Refinement for Few-Shot Transformers
por: Al-Habib, Mohammed, et al.
Publicado: (2025)
por: Al-Habib, Mohammed, et al.
Publicado: (2025)
Provably Improving Generalization of Few-Shot Models with Synthetic Data
por: Nguyen, Lan-Cuong, et al.
Publicado: (2025)
por: Nguyen, Lan-Cuong, et al.
Publicado: (2025)
FlashMotion: Few-Step Controllable Video Generation with Trajectory Guidance
por: Li, Quanhao, et al.
Publicado: (2026)
por: Li, Quanhao, et al.
Publicado: (2026)
Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning
por: Brouwer, Eric, et al.
Publicado: (2024)
por: Brouwer, Eric, et al.
Publicado: (2024)
PromptAL: Sample-Aware Dynamic Soft Prompts for Few-Shot Active Learning
por: Xiang, Hui, et al.
Publicado: (2025)
por: Xiang, Hui, et al.
Publicado: (2025)
Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking
por: So, Junhyuk, et al.
Publicado: (2025)
por: So, Junhyuk, et al.
Publicado: (2025)
Compositional Program Generation for Few-Shot Systematic Generalization
por: Klinger, Tim, et al.
Publicado: (2023)
por: Klinger, Tim, et al.
Publicado: (2023)
Learning Diverse Policies with Soft Self-Generated Guidance
por: Wang, Guojian, et al.
Publicado: (2024)
por: Wang, Guojian, et al.
Publicado: (2024)
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation
por: Peng, Shi-Feng, et al.
Publicado: (2024)
por: Peng, Shi-Feng, et al.
Publicado: (2024)
Adaptive Clipping for Privacy-Preserving Few-Shot Learning: Enhancing Generalization with Limited Data
por: Ranaweera, Kanishka, et al.
Publicado: (2025)
por: Ranaweera, Kanishka, et al.
Publicado: (2025)
Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration
por: Liu, Yonghao, et al.
Publicado: (2025)
por: Liu, Yonghao, et al.
Publicado: (2025)
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs
por: Ding, Pengfei, et al.
Publicado: (2024)
por: Ding, Pengfei, et al.
Publicado: (2024)
Improving Audio Classification by Transitioning from Zero- to Few-Shot
por: Taylor, James, et al.
Publicado: (2025)
por: Taylor, James, et al.
Publicado: (2025)
Prototypical Contrastive Learning For Improved Few-Shot Audio Classification
por: Sgouropoulos, Christos, et al.
Publicado: (2025)
por: Sgouropoulos, Christos, et al.
Publicado: (2025)
Quantum Diffusion Models for Few-Shot Learning
por: Wang, Ruhan, et al.
Publicado: (2024)
por: Wang, Ruhan, et al.
Publicado: (2024)
Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading
por: Walsh, Joel, et al.
Publicado: (2025)
por: Walsh, Joel, et al.
Publicado: (2025)
Policy Gradient Guidance Enables Test Time Control
por: Qi, Jianing, et al.
Publicado: (2025)
por: Qi, Jianing, et al.
Publicado: (2025)
Legal2LogicICL: Improving Generalization in Transforming Legal Cases to Logical Formulas via Diverse Few-Shot Learning
por: Xue, Jieying, et al.
Publicado: (2026)
por: Xue, Jieying, et al.
Publicado: (2026)
Ejemplares similares
-
Prompting Decision Transformers for Zero-Shot Reach-Avoid Policies
por: Li, Kevin, et al.
Publicado: (2025) -
Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization
por: Hu, Shengchao, et al.
Publicado: (2024) -
A Closer Look at Adversarial Suffix Learning for Jailbreaking LLMs: Augmented Adversarial Trigger Learning
por: Wang, Zhe, et al.
Publicado: (2025) -
Multi-Operator Few-Shot Learning for Generalization Across PDE Families
por: Li, Yile, et al.
Publicado: (2025) -
Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer
por: Yang, Yu, et al.
Publicado: (2024)