SPRIG: Improving Large Language Model Performance by System Prompt Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Lechen, Ergen, Tolga, Logeswaran, Lajanugen, Lee, Moontae, Jurgens, David |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cross-Lingual Prompt Steerability: Towards Accurate and Robust LLM Behavior across Languages
by: Zhang, Lechen, et al.
Published: (2025)
by: Zhang, Lechen, et al.
Published: (2025)
When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
by: Zheng, Mingqian, et al.
Published: (2023)
by: Zheng, Mingqian, et al.
Published: (2023)
You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments
by: Shu, Bangzhao, et al.
Published: (2023)
by: Shu, Bangzhao, et al.
Published: (2023)
Wordflow: Social Prompt Engineering for Large Language Models
by: Wang, Zijie J., et al.
Published: (2024)
by: Wang, Zijie J., et al.
Published: (2024)
Sociodemographic Prompting is Not Yet an Effective Approach for Simulating Subjective Judgments with LLMs
by: Sun, Huaman, et al.
Published: (2023)
by: Sun, Huaman, et al.
Published: (2023)
An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide
by: Fagbohun, Oluwole, et al.
Published: (2024)
by: Fagbohun, Oluwole, et al.
Published: (2024)
StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly?
by: Shen, Guobin, et al.
Published: (2024)
by: Shen, Guobin, et al.
Published: (2024)
Evaluating the Prompt Steerability of Large Language Models
by: Miehling, Erik, et al.
Published: (2024)
by: Miehling, Erik, et al.
Published: (2024)
Autonomous Prompt Engineering in Large Language Models
by: Kepel, Daan, et al.
Published: (2024)
by: Kepel, Daan, et al.
Published: (2024)
EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria
by: Kim, Tae Soo, et al.
Published: (2023)
by: Kim, Tae Soo, et al.
Published: (2023)
Can Large Language Model Agents Simulate Human Trust Behavior?
by: Xie, Chengxing, et al.
Published: (2024)
by: Xie, Chengxing, et al.
Published: (2024)
Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers
by: Ashizawa, Rin, et al.
Published: (2025)
by: Ashizawa, Rin, et al.
Published: (2025)
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
by: Sahoo, Pranab, et al.
Published: (2024)
by: Sahoo, Pranab, et al.
Published: (2024)
Prompting in the Dark: Assessing Human Performance in Prompt Engineering for Data Labeling When Gold Labels Are Absent
by: He, Zeyu, et al.
Published: (2025)
by: He, Zeyu, et al.
Published: (2025)
Modeling Public Perceptions of Science in Media
by: Pei, Jiaxin, et al.
Published: (2025)
by: Pei, Jiaxin, et al.
Published: (2025)
Toward Large Language Models as a Therapeutic Tool: Comparing Prompting Techniques to Improve GPT-Delivered Problem-Solving Therapy
by: Filienko, Daniil, et al.
Published: (2024)
by: Filienko, Daniil, et al.
Published: (2024)
Inertia in Moral and Value Judgments of Large Language Models
by: Lee, Bruce W., et al.
Published: (2024)
by: Lee, Bruce W., et al.
Published: (2024)
GRACE: Discriminator-Guided Chain-of-Thought Reasoning
by: Khalifa, Muhammad, et al.
Published: (2023)
by: Khalifa, Muhammad, et al.
Published: (2023)
A Security Risk Taxonomy for Prompt-Based Interaction With Large Language Models
by: Derner, Erik, et al.
Published: (2023)
by: Derner, Erik, et al.
Published: (2023)
Evalet: Evaluating Large Language Models through Functional Fragmentation
by: Kim, Tae Soo, et al.
Published: (2025)
by: Kim, Tae Soo, et al.
Published: (2025)
Benchmarking Gender and Political Bias in Large Language Models
by: Yang, Jinrui, et al.
Published: (2025)
by: Yang, Jinrui, et al.
Published: (2025)
Heterogeneous Value Alignment Evaluation for Large Language Models
by: Zhang, Zhaowei, et al.
Published: (2023)
by: Zhang, Zhaowei, et al.
Published: (2023)
Role-Play Zero-Shot Prompting with Large Language Models for Open-Domain Human-Machine Conversation
by: Njifenjou, Ahmed, et al.
Published: (2024)
by: Njifenjou, Ahmed, et al.
Published: (2024)
Chain of Empathy: Enhancing Empathetic Response of Large Language Models Based on Psychotherapy Models
by: Lee, Yoon Kyung, et al.
Published: (2023)
by: Lee, Yoon Kyung, et al.
Published: (2023)
Evaluating Large Language Models for Health-related Queries with Presuppositions
by: Kaur, Navreet, et al.
Published: (2023)
by: Kaur, Navreet, et al.
Published: (2023)
On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts
by: Aremu, Toluwani, et al.
Published: (2024)
by: Aremu, Toluwani, et al.
Published: (2024)
Prompt4Vis: Prompting Large Language Models with Example Mining and Schema Filtering for Tabular Data Visualization
by: Li, Shuaimin, et al.
Published: (2024)
by: Li, Shuaimin, et al.
Published: (2024)
What Large Language Models Know and What People Think They Know
by: Steyvers, Mark, et al.
Published: (2024)
by: Steyvers, Mark, et al.
Published: (2024)
MenuCraft: Interactive Menu System Design with Large Language Models
by: Kargaran, Amir Hossein, et al.
Published: (2023)
by: Kargaran, Amir Hossein, et al.
Published: (2023)
Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
by: Suzgun, Mirac, et al.
Published: (2024)
by: Suzgun, Mirac, et al.
Published: (2024)
Value-Action Alignment in Large Language Models under Privacy-Prosocial Conflict
by: Chen, Guanyu, et al.
Published: (2026)
by: Chen, Guanyu, et al.
Published: (2026)
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
by: Kahng, Minsuk, et al.
Published: (2024)
by: Kahng, Minsuk, et al.
Published: (2024)
Transforming Tuberculosis Care: Optimizing Large Language Models For Enhanced Clinician-Patient Communication
by: Filienko, Daniil, et al.
Published: (2025)
by: Filienko, Daniil, et al.
Published: (2025)
Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models
by: Naderi, Nariman, et al.
Published: (2025)
by: Naderi, Nariman, et al.
Published: (2025)
Prompt2DeModel: Declarative Neuro-Symbolic Modeling with Natural Language
by: Faghihi, Hossein Rajaby, et al.
Published: (2024)
by: Faghihi, Hossein Rajaby, et al.
Published: (2024)
Improving Interactive Diagnostic Ability of a Large Language Model Agent Through Clinical Experience Learning
by: Sun, Zhoujian, et al.
Published: (2025)
by: Sun, Zhoujian, et al.
Published: (2025)
Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review
by: Ye, Rui, et al.
Published: (2024)
by: Ye, Rui, et al.
Published: (2024)
How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities
by: Xu, Ziwen, et al.
Published: (2026)
by: Xu, Ziwen, et al.
Published: (2026)
Process Reward Models That Think
by: Khalifa, Muhammad, et al.
Published: (2025)
by: Khalifa, Muhammad, et al.
Published: (2025)
Automating Customer Needs Analysis: A Comparative Study of Large Language Models in the Travel Industry
by: Barandoni, Simone, et al.
Published: (2024)
by: Barandoni, Simone, et al.
Published: (2024)
Similar Items
-
Cross-Lingual Prompt Steerability: Towards Accurate and Robust LLM Behavior across Languages
by: Zhang, Lechen, et al.
Published: (2025) -
When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
by: Zheng, Mingqian, et al.
Published: (2023) -
You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments
by: Shu, Bangzhao, et al.
Published: (2023) -
Wordflow: Social Prompt Engineering for Large Language Models
by: Wang, Zijie J., et al.
Published: (2024) -
Sociodemographic Prompting is Not Yet an Effective Approach for Simulating Subjective Judgments with LLMs
by: Sun, Huaman, et al.
Published: (2023)