prompt engineering

1128 papers

Explore in graph

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

P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization ACL 2024

Designing Informative Metrics for Few-Shot Example Selection ACL 2024

Reinforcement Learning-Driven LLM Agent for Automated Attacks on LLMs ACL 2024

Teaching LLMs at Charles University: Assignments and Activities ACL 2024

Financial Product Ontology Population with Large Language Models ACL 2024

Semantic Graphs for Syntactic Simplification: A Revisit from the Age of LLM ACL 2024

Skoltech at TextGraphs-17 Shared Task: Finding GPT-4 Prompting Strategies for Multiple Choice Questions ACL 2024

Prompt Highlighter: Interactive Control for Multi-Modal LLMs CVPR 2024

Language Models as Black-Box Optimizers for Vision-Language Models CVPR 2024

Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection CVPR 2024

Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse Prompts CVPR 2024

RETAIN: Interactive Tool for Regression Testing Guided LLM Migration EMNLP 2024

Solving for X and Beyond: Can Large Language Models Solve Complex Math Problems with More-Than-Two Unknowns? EMNLP 2024

PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness EMNLP 2024

Multi-Cultural Norm Base: Frame-based Norm Discovery in Multi-Cultural Settings EMNLP 2024

HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims EMNLP 2024

Enhancing Translation Quality: A Comparative Study of Fine-Tuning and Prompt Engineering in Dialog-Oriented Machine Translation Systems. Insights from the MULTITAN-GML Team EMNLP 2024

Navigating Hallucinations for Reasoning of Unintentional Activities EMNLP 2024

Improving Adversarial Robustness in Vision-Language Models with Architecture and Prompt Design EMNLP 2024

GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models EMNLP 2024

Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios ACL 2024

Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts EMNLP 2024

StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model EMNLP 2024

Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together EMNLP 2024

Story Morals: Surfacing value-driven narrative schemas using large language models EMNLP 2024