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prompt engineering

1135 papers

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PE

Co-occurring keywords

large language model (13587) few-shot learning (3398) in-context learning (1405) zero-shot learning (3650) text classification (6793) language model (4599) text generation (2913) chain-of-thought prompting (313) chain of thought (285) question answering (2963)

Papers

Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key? ACL 2024
Prompt Optimization via Adversarial In-Context Learning ACL 2024
LLMEmbed: Rethinking Lightweight LLM’s Genuine Function in Text Classification ACL 2024
PokeMQA: Programmable knowledge editing for Multi-hop Question Answering ACL 2024
Think Twice: Perspective-Taking Improves Large Language Models’ Theory-of-Mind Capabilities ACL 2024
Topic Modeling for Short Texts with Large Language Models ACL 2024
Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks ACL 2024
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