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prompt engineering
1128 papers
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Also known as
PE
Co-occurring keywords
large language model
(12755)
few-shot learning
(3390)
in-context learning
(1369)
zero-shot learning
(3637)
text classification
(6776)
language model
(4573)
text generation
(2903)
chain-of-thought prompting
(306)
chain of thought
(274)
question answering
(2904)
Papers
Enhancing Text-to-SQL Parsing through Question Rewriting and Execution-Guided Refinement
ACL 2024
Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective
ACL 2024
Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games
ACL 2024
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations
EMNLP 2024
Paraphrase Types Elicit Prompt Engineering Capabilities
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
Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning
EMNLP 2024
Rethinking the Evaluation of In-Context Learning for LLMs
EMNLP 2024
Free your mouse! Command Large Language Models to Generate Code to Format Word Documents
EMNLP 2024
PepRec: Progressive Enhancement of Prompting for Recommendation
EMNLP 2024
Back to School: Translation Using Grammar Books
EMNLP 2024
AMPO: Automatic Multi-Branched Prompt Optimization
EMNLP 2024
Adversarial Text Generation using Large Language Models for Dementia Detection
EMNLP 2024
The Death and Life of Great Prompts: Analyzing the Evolution of LLM Prompts from the Structural Perspective
EMNLP 2024
Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs
EMNLP 2024
Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization
EMNLP 2024
Unleashing Large Language Models’ Proficiency in Zero-shot Essay Scoring
EMNLP 2024
DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?
EMNLP 2024
Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering
EMNLP 2024
The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance
EMNLP 2024
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations
EMNLP 2024
A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction
EMNLP 2024
Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media
EMNLP 2024
The Effect of Sampling Temperature on Problem Solving in Large Language Models
EMNLP 2024
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