Co-occurring keywords · papers mentioning both
Papers
SynPrompt: Syntax-aware Enhanced Prompt Engineering for Aspect-based Sentiment Analysis
COLING 2024
Systematic Task Exploration with LLMs: A Study in Citation Text Generation
ACL 2024
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
ICLR 2024
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
NeurIPS 2024
Teaching Large Language Models an Unseen Language on the Fly
ACL 2024
Teaching LLMs at Charles University: Assignments and Activities
ACL 2024
Text-Driven Image Editing via Learnable Regions
CVPR 2024
The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance
EMNLP 2024
The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance
ACL 2024
The Death and Life of Great Prompts: Analyzing the Evolution of LLM Prompts from the Structural Perspective
EMNLP 2024
The Effect of Sampling Temperature on Problem Solving in Large Language Models
EMNLP 2024
The Impact of Reasoning Step Length on Large Language Models
ACL 2024
The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs
ACL 2024
“Thinking” Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models
EMNLP 2024
Think Twice: Perspective-Taking Improves Large Language Models’ Theory-of-Mind Capabilities
ACL 2024
THOUGHT PROPAGATION: AN ANALOGICAL APPROACH TO COMPLEX REASONING WITH LARGE LANGUAGE MODELS
ICLR 2024
To Ask LLMs about English Grammaticality, Prompt Them in a Different Language
EMNLP 2024
To Clarify or not to Clarify: A Comparative Analysis of Clarification Classification with Fine-Tuning, Prompt Tuning, and Prompt Engineering
NAACL 2024
TopicGPT: A Prompt-based Topic Modeling Framework
NAACL 2024
Topic Modeling for Short Texts with Large Language Models
ACL 2024
Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components
ICML 2024
Towards interfacing large language models with ASR systems using confidence measures and prompting
Interspeech 2024
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
NeurIPS 2024
Tutor-ICL: Guiding Large Language Models for Improved In-Context Learning Performance
EMNLP 2024
UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis
NAACL 2024