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Machine Learning
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Learning Types
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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
Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles
EMNLP 2024
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
EMNLP 2024
Large Language Models Can Self-Correct with Key Condition Verification
EMNLP 2024
Null-Shot Prompting: Rethinking Prompting Large Language Models With Hallucination
EMNLP 2024
PepRec: Progressive Enhancement of Prompting for Recommendation
EMNLP 2024
AMPO: Automatic Multi-Branched Prompt Optimization
EMNLP 2024
Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models
EMNLP 2024
The Death and Life of Great Prompts: Analyzing the Evolution of LLM Prompts from the Structural Perspective
EMNLP 2024
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming
EMNLP 2024
From Test-Taking to Test-Making: Examining LLM Authoring of Commonsense Assessment Items
EMNLP 2024
Creative and Context-Aware Translation of East Asian Idioms with GPT-4
EMNLP 2024
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization
EMNLP 2024
StraGo: Harnessing Strategic Guidance for Prompt Optimization
EMNLP 2024
Functionality learning through specification instructions
EMNLP 2024
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability
EMNLP 2024
Using LLMs to simulate students’ responses to exam questions
EMNLP 2024
Can We Instruct LLMs to Compensate for Position Bias?
EMNLP 2024
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
EMNLP 2024
Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization
EMNLP 2024
RecomMind: Movie Recommendation Dialogue with Seeker’s Internal State
EMNLP 2024
Redefining Proactivity for Information Seeking Dialogue
EMNLP 2024
Prompt Learning with Extended Kalman Filter for Pre-trained Language Models
IJCAI 2024
Incorporating Dialect Understanding Into LLM Using RAG and Prompt Engineering Techniques for Causal Commonsense Reasoning
NAACL 2024
One-Shot Prompt for Language Variety Identification
NAACL 2024
Mothman at SemEval-2024 Task 9: An Iterative System for Chain-of-Thought Prompt Optimization
SEMEVAL 2024
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