Cover Image

FPT: Feature Prompt Tuning for Few-shot Readability Assessment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Ziyang, Lee, Sanwoo, Huang, Hsiu-Yuan, Wu, Yunfang
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unleashing Large Language Models' Proficiency in Zero-shot Essay Scoring
by: Lee, Sanwoo, et al.
Published: (2024)

A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice
by: Huang, Hsiu-Yuan, et al.
Published: (2024)

Composable Cross-prompt Essay Scoring by Merging Models
by: Lee, Sanwoo, et al.
Published: (2025)

Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding
by: Wu, Zichen, et al.
Published: (2024)

Rank-Then-Score: Enhancing Large Language Models for Automated Essay Scoring
by: Cai, Yida, et al.
Published: (2025)

Trait-Aware Policy Optimization for Autoregressive Multi-Trait Essay Scoring
by: Wang, Zhengyang, et al.
Published: (2026)

Dynamic Fisher-weighted Model Merging via Bayesian Optimization
by: Lee, Sanwoo, et al.
Published: (2025)

Beyond Spurious Signals: Debiasing Multimodal Large Language Models via Counterfactual Inference and Adaptive Expert Routing
by: Wu, Zichen, et al.
Published: (2025)

Beyond Demonstrations: Dynamic Vector Construction from Latent Representations
by: Cai, Wang, et al.
Published: (2025)

Assessing the Performance of Chinese Open Source Large Language Models in Information Extraction Tasks
by: Cai, Yida, et al.
Published: (2024)

Prompt-based Learning for Text Readability Assessment
by: Lee, Bruce W., et al.
Published: (2023)

Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning
by: Guo, Yanhui, et al.
Published: (2024)

Generating Synthetic Datasets for Few-shot Prompt Tuning
by: Guo, Xu, et al.
Published: (2024)

PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning
by: Zhang, Tianrong, et al.
Published: (2024)

Zero-shot Large Language Models for Automatic Readability Assessment
by: Grossman, Riley, et al.
Published: (2026)

Unlocking the Power of LLM Uncertainty for Active In-Context Example Selection
by: Huang, Hsiu-Yuan, et al.
Published: (2024)

CFMS: Towards Explainable and Fine-Grained Chinese Multimodal Sarcasm Detection Benchmark
by: Zhang, Junzhao, et al.
Published: (2026)

Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features
by: Lee, Bruce W., et al.
Published: (2021)

Democratizing Tool Learning with Environments Fully Simulated by a Free 8B Language Model
by: Tang, Chenming, et al.
Published: (2026)

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning
by: Xie, Kaige, et al.
Published: (2023)

MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering
by: Chen, Xiusi, et al.
Published: (2023)

Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions
by: Tang, Chenming, et al.
Published: (2024)

Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models
by: Shi, Fobo, et al.
Published: (2023)

COOL: Comprehensive Knowledge Enhanced Prompt Learning for Domain Adaptive Few-shot Fake News Detection
by: Ouyang, Yi, et al.
Published: (2024)

StablePT: Towards Stable Prompting for Few-shot Learning via Input Separation
by: Liu, Xiaoming, et al.
Published: (2024)

Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Generation for Few-shot Learning
by: Li, Chengzhengxu, et al.
Published: (2023)

Multi-modal Semantic Understanding with Contrastive Cross-modal Feature Alignment
by: Zhang, Ming, et al.
Published: (2024)

Label-Guided Prompt for Multi-label Few-shot Aspect Category Detection
by: Guan, ChaoFeng, et al.
Published: (2024)

Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
by: Cheng, Xiang, et al.
Published: (2025)

Dental Severity Assessment through Few-shot Learning and SBERT Fine-tuning
by: Dehghani, Mohammad
Published: (2024)

Exploring Linguistic Features for Turkish Text Readability
by: Uluslu, Ahmet Yavuz, et al.
Published: (2023)

AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
by: Tang, Yuwei, et al.
Published: (2024)

Can Prompting LLMs Unlock Hate Speech Detection across Languages? A Zero-shot and Few-shot Study
by: Ghorbanpour, Faeze, et al.
Published: (2025)

Prompt Tuning for Few-Shot Continual Learning Named Entity Recognition
by: Ren, Zhe
Published: (2025)

Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models
by: Tang, Lei, et al.
Published: (2025)

Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features
by: Fan, Miao, et al.
Published: (2024)

On the Utility of Domain-Adjacent Fine-Tuned Model Ensembles for Few-shot Problems
by: Alam, Md Ibrahim Ibne, et al.
Published: (2024)

Political DEBATE: Efficient Zero-shot and Few-shot Classifiers for Political Text
by: Burnham, Michael, et al.
Published: (2024)

Instance-adaptive Zero-shot Chain-of-Thought Prompting
by: Yuan, Xiaosong, et al.
Published: (2024)

M$^2$PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
by: Wang, Taowen, et al.
Published: (2024)