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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

OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting EMNLP 2024
Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models EMNLP 2024
GPT-4 Jailbreaks Itself with Near-Perfect Success Using Self-Explanation EMNLP 2024
Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization EMNLP 2024
A Notion of Complexity for Theory of Mind via Discrete World Models EMNLP 2024
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming EMNLP 2024
Exploring Automated Keyword Mnemonics Generation with Large Language Models via Overgenerate-and-Rank EMNLP 2024
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning EMNLP 2024
Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs. EMNLP 2024
Functionality learning through specification instructions EMNLP 2024
R2AG: Incorporating Retrieval Information into Retrieval Augmented Generation EMNLP 2024
Cognitive Bias in Decision-Making with LLMs EMNLP 2024
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models EMNLP 2024
“What is the value of templates?” Rethinking Document Information Extraction Datasets for LLMs EMNLP 2024
DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLMs Jailbreakers EMNLP 2024
AXCEL: Automated eXplainable Consistency Evaluation using LLMs EMNLP 2024
To Ask LLMs about English Grammaticality, Prompt Them in a Different Language EMNLP 2024
Large Language Models are In-context Teachers for Knowledge Reasoning EMNLP 2024
Enhancing LLM Reasoning via Vision-Augmented Prompting NIPS 2024
Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought NIPS 2024
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses NIPS 2024
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts NIPS 2024
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study NIPS 2024
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark NIPS 2024
Knowledge Graph Prompting for Multi-Document Question Answering AAAI 2024