Image de couverture de livre

ConsPrompt: Exploiting Contrastive Samples for Fewshot Prompt Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Weng, Jinta, Deng, Yifan, Li, d Donghao, You, Hao, Hu, Yue, Huang, Heyan
Format:	Preprint
Publié:	2022
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Learning from Contrastive Prompts: Automated Optimization and Adaptation
par: Li, Mingqi, et autres
Publié: (2024)

RAG-based Crowdsourcing Task Decomposition via Masked Contrastive Learning with Prompts
par: Yang, Jing, et autres
Publié: (2024)

No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping
par: Le, Thanh-Long V., et autres
Publié: (2025)

Meta Prompting for AI Systems
par: Zhang, Yifan, et autres
Publié: (2023)

$\textit{LinkPrompt}$: Natural and Universal Adversarial Attacks on Prompt-based Language Models
par: Xu, Yue, et autres
Publié: (2024)

EFPC: Towards Efficient and Flexible Prompt Compression
par: Cao, Yun-Hao, et autres
Publié: (2025)

Explainable Sentiment Analysis with DeepSeek-R1: Performance, Efficiency, and Few-Shot Learning
par: Huang, Donghao, et autres
Publié: (2025)

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction
par: Duan, Jiaxin, et autres
Publié: (2025)

CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
par: Feng, Yu, et autres
Publié: (2024)

Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph
par: Zheng, Ziyu, et autres
Publié: (2025)

BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
par: Li, Jiangmeng, et autres
Publié: (2024)

SCOPE: A Generative Approach for LLM Prompt Compression
par: Zhang, Tinghui, et autres
Publié: (2025)

Prompt-SAW: Leveraging Relation-Aware Graphs for Textual Prompt Compression
par: Ali, Muhammad Asif, et autres
Publié: (2024)

Metric-Fair Prompting: Treating Similar Samples Similarly
par: Wang, Jing, et autres
Publié: (2025)

Prompt Chaining or Stepwise Prompt? Refinement in Text Summarization
par: Sun, Shichao, et autres
Publié: (2024)

ConCSE: Unified Contrastive Learning and Augmentation for Code-Switched Embeddings
par: Jeon, Jangyeong, et autres
Publié: (2024)

ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models
par: Zhang, Qing, et autres
Publié: (2025)

Debate, Reflect, and Distill: Multi-Agent Feedback with Tree-Structured Preference Optimization for Efficient Language Model Enhancement
par: Zhou, Xiaofeng, et autres
Publié: (2025)

Black-box Prompt Tuning with Subspace Learning
par: Zheng, Yuanhang, et autres
Publié: (2023)

GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning
par: Liu, Yuze, et autres
Publié: (2024)

On the Worst Prompt Performance of Large Language Models
par: Cao, Bowen, et autres
Publié: (2024)

An Empirical Study on Prompt Compression for Large Language Models
par: Zhang, Zheng, et autres
Publié: (2025)

PRL: Prompts from Reinforcement Learning
par: Batorski, Paweł, et autres
Publié: (2025)

Discrete Prompt Compression with Reinforcement Learning
par: Jung, Hoyoun, et autres
Publié: (2023)

On the Transformations across Reward Model, Parameter Update, and In-Context Prompt
par: Cai, Deng, et autres
Publié: (2024)

PromptBridge: Cross-Model Prompt Transfer for Large Language Models
par: Wang, Yaxuan, et autres
Publié: (2025)

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques
par: Schulhoff, Sander, et autres
Publié: (2024)

PromptEmbedder:: Efficient and Transferable Text Embedding via Dual-LLM Soft Prompting
par: Tsai, Yu-Che, et autres
Publié: (2026)

PIS: Linking Importance Sampling and Attention Mechanisms for Efficient Prompt Compression
par: Chen, Lizhe, et autres
Publié: (2025)

Bilateral Personalized Dialogue Generation with Contrastive Learning
par: Li, Bin, et autres
Publié: (2021)

Robustness of Prompting: Enhancing Robustness of Large Language Models Against Prompting Attacks
par: Mu, Lin, et autres
Publié: (2025)

Provable Benefits of Task-Specific Prompts for In-context Learning
par: Chang, Xiangyu, et autres
Publié: (2025)

Rationale-guided Prompting for Knowledge-based Visual Question Answering
par: Hu, Zhongjian, et autres
Publié: (2024)

PLPP: Prompt Learning with Perplexity Is Self-Distillation for Vision-Language Models
par: Liu, Biao, et autres
Publié: (2024)

Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
par: Yang, Hunmin, et autres
Publié: (2024)

Soft-Prompting with Graph-of-Thought for Multi-modal Representation Learning
par: Yang, Juncheng, et autres
Publié: (2024)

Prompt-Activation Duality: Improving Activation Steering via Attention-Level Interventions
par: Kang, Diancheng, et autres
Publié: (2026)

Hidden Prompts in Manuscripts Exploit AI-Assisted Peer Review
par: Lin, Zhicheng
Publié: (2025)

KnowGPT: Knowledge Graph based Prompting for Large Language Models
par: Zhang, Qinggang, et autres
Publié: (2023)

Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models
par: Li, Yitian, et autres
Publié: (2024)