conftrace
_
Papers
Trends
Conferences
Explore
More
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
← Learning Types
Machine Learning
›
Learning Types
›
Prompt Engineering
273 papers
Papers per year
2021: 1
1
2022: 31
31
2023: 66
66
2024: 77
77
2025: 97
97
2026: 1
1
Papers
It is Simple Sometimes: A Study On Improving Aspect-Based Sentiment Analysis Performance
ACL 2024
It Is Not About What You Say, It Is About How You Say It: A Surprisingly Simple Approach for Improving Reading Comprehension
ACL 2024
Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals?
ACL 2024
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models
ACL 2024
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models
ACL 2024
P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization
ACL 2024
Designing Informative Metrics for Few-Shot Example Selection
ACL 2024
Skoltech at TextGraphs-17 Shared Task: Finding GPT-4 Prompting Strategies for Multiple Choice Questions
ACL 2024
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives
COLING 2024
FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models
CVPR 2024
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models
CVPR 2024
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning
CVPR 2024
Exploring Instructive Prompts for Large Language Models in the Extraction of Evidence for Supporting Assigned Suicidal Risk Levels
EACL 2024
Psychological Assessments with Large Language Models: A Privacy-Focused and Cost-Effective Approach
EACL 2024
Prompting Fairness: Learning Prompts for Debiasing Large Language Models
EACL 2024
Soft Prompt Tuning for Cross-Lingual Transfer: When Less is More
EACL 2024
Emulating Author Style: A Feasibility Study of Prompt-enabled Text Stylization with Off-the-Shelf LLMs
EACL 2024
GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models
EMNLP 2024
Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement
EMNLP 2024
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics
EMNLP 2024
Position Engineering: Boosting Large Language Models through Positional Information Manipulation
EMNLP 2024
Retrieved In-Context Principles from Previous Mistakes
EMNLP 2024
Walking in Others’ Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias
EMNLP 2024
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs
EMNLP 2024
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text
EMNLP 2024
<
1
…
5
6
7
…
11
>