PromptCL: Improving Event Representation via Prompt Template and Contrastive Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Feng, Yubo, Li, Lishuang, Xiang, Yi, Qin, Xueyang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GDLLM: A Global Distance-aware Modeling Approach Based on Large Language Models for Event Temporal Relation Extraction
by: Zhao, Jie, et al.
Published: (2025)
by: Zhao, Jie, et al.
Published: (2025)
Dependency Parsing with the Structuralized Prompt Template
by: Kim, Keunha, et al.
Published: (2025)
by: Kim, Keunha, et al.
Published: (2025)
ConsPrompt: Exploiting Contrastive Samples for Fewshot Prompt Learning
by: Weng, Jinta, et al.
Published: (2022)
by: Weng, Jinta, et al.
Published: (2022)
Learning to Compress Prompts with Gist Tokens
by: Mu, Jesse, et al.
Published: (2023)
by: Mu, Jesse, et al.
Published: (2023)
Learning from Contrastive Prompts: Automated Optimization and Adaptation
by: Li, Mingqi, et al.
Published: (2024)
by: Li, Mingqi, et al.
Published: (2024)
Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models
by: Lee, Younghun, et al.
Published: (2024)
by: Lee, Younghun, et al.
Published: (2024)
ChatInject: Abusing Chat Templates for Prompt Injection in LLM Agents
by: Chang, Hwan, et al.
Published: (2025)
by: Chang, Hwan, et al.
Published: (2025)
Event Argument Extraction with Enriched Prompts
by: Liang, Chen
Published: (2025)
by: Liang, Chen
Published: (2025)
Monotonic Paraphrasing Improves Generalization of Language Model Prompting
by: Liu, Qin, et al.
Published: (2024)
by: Liu, Qin, et al.
Published: (2024)
RAG-based Crowdsourcing Task Decomposition via Masked Contrastive Learning with Prompts
by: Yang, Jing, et al.
Published: (2024)
by: Yang, Jing, et al.
Published: (2024)
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
by: Dong, Honghua, et al.
Published: (2024)
by: Dong, Honghua, et al.
Published: (2024)
Prompt-based Graph Model for Joint Liberal Event Extraction and Event Schema Induction
by: Li, Haochen, et al.
Published: (2024)
by: Li, Haochen, et al.
Published: (2024)
Soft-Prompting with Graph-of-Thought for Multi-modal Representation Learning
by: Yang, Juncheng, et al.
Published: (2024)
by: Yang, Juncheng, et al.
Published: (2024)
PromptNCE: Pointwise Mutual Information Predictions Using Only LLMs and Contrastive Estimation Prompts
by: Woodrow, Juliette, et al.
Published: (2026)
by: Woodrow, Juliette, et al.
Published: (2026)
PEDRO: Parameter-Efficient Fine-tuning with Prompt DEpenDent Representation MOdification
by: Xie, Tianfang, et al.
Published: (2024)
by: Xie, Tianfang, et al.
Published: (2024)
mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive Learning
by: Mo, Ying, et al.
Published: (2023)
by: Mo, Ying, et al.
Published: (2023)
Learning-From-Mistakes Prompting for Indigenous Language Translation
by: Liao, You-Cheng, et al.
Published: (2024)
by: Liao, You-Cheng, et al.
Published: (2024)
Toward Automated Simulation Research Workflow through LLM Prompt Engineering Design
by: Liu, Zhihan, et al.
Published: (2024)
by: Liu, Zhihan, et al.
Published: (2024)
Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization
by: Liu, Yuanye, et al.
Published: (2025)
by: Liu, Yuanye, et al.
Published: (2025)
Vulnerability of Text-to-Image Models to Prompt Template Stealing: A Differential Evolution Approach
by: Wu, Yurong, et al.
Published: (2025)
by: Wu, Yurong, et al.
Published: (2025)
IAO Prompting: Making Knowledge Flow Explicit in LLMs through Structured Reasoning Templates
by: Diallo, Aissatou, et al.
Published: (2025)
by: Diallo, Aissatou, et al.
Published: (2025)
Transfer-Prompting: Enhancing Cross-Task Adaptation in Large Language Models via Dual-Stage Prompts Optimization
by: Chang, Yupeng, et al.
Published: (2025)
by: Chang, Yupeng, et al.
Published: (2025)
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts
by: Guo, Haoqiang, et al.
Published: (2024)
by: Guo, Haoqiang, et al.
Published: (2024)
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
by: Zhang, Enming, et al.
Published: (2025)
by: Zhang, Enming, et al.
Published: (2025)
SparseCL: Sparse Contrastive Learning for Contradiction Retrieval
by: Xu, Haike, et al.
Published: (2024)
by: Xu, Haike, et al.
Published: (2024)
Rethinking Prompt Optimizers: From Prompt Merits to Optimization
by: Zhu, Zixiao, et al.
Published: (2025)
by: Zhu, Zixiao, et al.
Published: (2025)
PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment
by: Liu, Zequan, et al.
Published: (2025)
by: Liu, Zequan, et al.
Published: (2025)
Do Prompts Reshape Representations? An Empirical Study of Prompting Effects on Embeddings
by: Gonzalez-Gutierrez, Cesar, et al.
Published: (2025)
by: Gonzalez-Gutierrez, Cesar, et al.
Published: (2025)
Steer Model beyond Assistant: Controlling System Prompt Strength via Contrastive Decoding
by: Dong, Yijiang River, et al.
Published: (2026)
by: Dong, Yijiang River, et al.
Published: (2026)
Guiding Medical Vision-Language Models with Explicit Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations
by: Zhu, Kangyu, et al.
Published: (2025)
by: Zhu, Kangyu, et al.
Published: (2025)
Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning
by: Liu, Wenjin, et al.
Published: (2025)
by: Liu, Wenjin, et al.
Published: (2025)
Prompt-tuning for Clickbait Detection via Text Summarization
by: Deng, Haoxiang, et al.
Published: (2024)
by: Deng, Haoxiang, et al.
Published: (2024)
PromptPrism: A Linguistically-Inspired Taxonomy for Prompts
by: Jeoung, Sullam, et al.
Published: (2025)
by: Jeoung, Sullam, et al.
Published: (2025)
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
by: Yang, Hunmin, et al.
Published: (2024)
by: Yang, Hunmin, et al.
Published: (2024)
SCHK-HTC: Sibling Contrastive Learning with Hierarchical Knowledge-Aware Prompt Tuning for Hierarchical Text Classification
by: Xiong, Ke, et al.
Published: (2026)
by: Xiong, Ke, et al.
Published: (2026)
PromptAL: Sample-Aware Dynamic Soft Prompts for Few-Shot Active Learning
by: Xiang, Hui, et al.
Published: (2025)
by: Xiang, Hui, et al.
Published: (2025)
TAG-EQA: Text-And-Graph for Event Question Answering via Structured Prompting Strategies
by: Kadam, Maithili, et al.
Published: (2025)
by: Kadam, Maithili, et al.
Published: (2025)
RulePrompt: Weakly Supervised Text Classification with Prompting PLMs and Self-Iterative Logical Rules
by: Li, Miaomiao, et al.
Published: (2024)
by: Li, Miaomiao, et al.
Published: (2024)
Generative Sign-description Prompts with Multi-positive Contrastive Learning for Sign Language Recognition
by: Liang, Siyu, et al.
Published: (2025)
by: Liang, Siyu, et al.
Published: (2025)
A Preliminary Empirical Study on Prompt-based Unsupervised Keyphrase Extraction
by: Song, Mingyang, et al.
Published: (2024)
by: Song, Mingyang, et al.
Published: (2024)
Similar Items
-
GDLLM: A Global Distance-aware Modeling Approach Based on Large Language Models for Event Temporal Relation Extraction
by: Zhao, Jie, et al.
Published: (2025) -
Dependency Parsing with the Structuralized Prompt Template
by: Kim, Keunha, et al.
Published: (2025) -
ConsPrompt: Exploiting Contrastive Samples for Fewshot Prompt Learning
by: Weng, Jinta, et al.
Published: (2022) -
Learning to Compress Prompts with Gist Tokens
by: Mu, Jesse, et al.
Published: (2023) -
Learning from Contrastive Prompts: Automated Optimization and Adaptation
by: Li, Mingqi, et al.
Published: (2024)