GREATERPROMPT: A Unified, Customizable, and High-Performing Open-Source Toolkit for Prompt Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Wenliang, Das, Sarkar Snigdha Sarathi, Zhang, Yusen, Zhang, Rui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Nexus : An Agentic Framework for Time Series Forecasting
by: Das, Sarkar Snigdha Sarathi, et al.
Published: (2026)
by: Das, Sarkar Snigdha Sarathi, et al.
Published: (2026)
A General Benchmark Framework is Dynamic Graph Neural Network Need
by: Zhang, Yusen
Published: (2024)
by: Zhang, Yusen
Published: (2024)
Online and Customizable Fairness-aware Learning
by: Zhang, Wenbin
Published: (2020)
by: Zhang, Wenbin
Published: (2020)
PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning
by: Wu, John, et al.
Published: (2026)
by: Wu, John, et al.
Published: (2026)
PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow
by: Klamkin, Michael, et al.
Published: (2025)
by: Klamkin, Michael, et al.
Published: (2025)
Prisma: An Open Source Toolkit for Mechanistic Interpretability in Vision and Video
by: Joseph, Sonia, et al.
Published: (2025)
by: Joseph, Sonia, et al.
Published: (2025)
Unified Optimization of Source Weights and Transfer Quantities in Multi-Source Transfer Learning: An Asymptotic Framework
by: Zhang, Qingyue, et al.
Published: (2026)
by: Zhang, Qingyue, et al.
Published: (2026)
Verbosity $\neq$ Veracity: Demystify Verbosity Compensation Behavior of Large Language Models
by: Zhang, Yusen, et al.
Published: (2024)
by: Zhang, Yusen, et al.
Published: (2024)
BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation
by: Kim, Eunsu, et al.
Published: (2025)
by: Kim, Eunsu, et al.
Published: (2025)
AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs
by: Nguyen, Hoang, et al.
Published: (2025)
by: Nguyen, Hoang, et al.
Published: (2025)
UncertaintyZoo: A Unified Toolkit for Quantifying Predictive Uncertainty in Deep Learning Systems
by: Wu, Xianzong, et al.
Published: (2025)
by: Wu, Xianzong, et al.
Published: (2025)
Breaking the Curse of Repulsion: Optimistic Distributionally Robust Policy Optimization for Off-Policy Generative Recommendation
by: Jiang, Jie, et al.
Published: (2026)
by: Jiang, Jie, et al.
Published: (2026)
When Reasoning Meets Compression: Understanding the Effects of LLMs Compression on Large Reasoning Models
by: Zhang, Nan, et al.
Published: (2025)
by: Zhang, Nan, et al.
Published: (2025)
QuantLRM: Quantization of Large Reasoning Models via Fine-Tuning Signals
by: Zhang, Nan, et al.
Published: (2026)
by: Zhang, Nan, et al.
Published: (2026)
MiniTensor: A Lightweight, High-Performance Tensor Operations Library
by: Sarkar, Soumyadip
Published: (2026)
by: Sarkar, Soumyadip
Published: (2026)
Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning
by: Pawar, Pranav, et al.
Published: (2025)
by: Pawar, Pranav, et al.
Published: (2025)
BOxCrete: A Bayesian Optimization Open-Source AI Model for Concrete Strength Forecasting and Mix Optimization
by: Baten, Bayezid, et al.
Published: (2026)
by: Baten, Bayezid, et al.
Published: (2026)
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
by: Kim, Joongwon, et al.
Published: (2024)
by: Kim, Joongwon, et al.
Published: (2024)
Understanding Prompt Tuning and In-Context Learning via Meta-Learning
by: Genewein, Tim, et al.
Published: (2025)
by: Genewein, Tim, et al.
Published: (2025)
Language Model Prompt Selection via Simulation Optimization
by: Zhang, Haoting, et al.
Published: (2024)
by: Zhang, Haoting, et al.
Published: (2024)
A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning
by: Zhang, Qingyue, et al.
Published: (2025)
by: Zhang, Qingyue, et al.
Published: (2025)
Agent Lumos: Unified and Modular Training for Open-Source Language Agents
by: Yin, Da, et al.
Published: (2023)
by: Yin, Da, et al.
Published: (2023)
Prompts Generalize with Low Data: Non-vacuous Generalization Bounds for Optimizing Prompts with More Informative Priors
by: Madras, David, et al.
Published: (2025)
by: Madras, David, et al.
Published: (2025)
Predicting Performance of Symbolic and Prompt Programs with Examples
by: Zheng, Chengqi, et al.
Published: (2026)
by: Zheng, Chengqi, et al.
Published: (2026)
A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization
by: Zhang, Jiazhao, et al.
Published: (2024)
by: Zhang, Jiazhao, et al.
Published: (2024)
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
by: Liu, Sizhe, et al.
Published: (2024)
by: Liu, Sizhe, et al.
Published: (2024)
PyG-SSL: A Graph Self-Supervised Learning Toolkit
by: Zheng, Lecheng, et al.
Published: (2024)
by: Zheng, Lecheng, et al.
Published: (2024)
Dialz: A Python Toolkit for Steering Vectors
by: Siddique, Zara, et al.
Published: (2025)
by: Siddique, Zara, et al.
Published: (2025)
Generating Expressive and Customizable Evals for Timeseries Data Analysis Agents with AgentFuel
by: Maddi, Aadyaa, et al.
Published: (2026)
by: Maddi, Aadyaa, et al.
Published: (2026)
GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers
by: Das, Sarkar Snigdha Sarathi, et al.
Published: (2024)
by: Das, Sarkar Snigdha Sarathi, et al.
Published: (2024)
Coverage-based Fairness in Multi-document Summarization
by: Li, Haoyuan, et al.
Published: (2024)
by: Li, Haoyuan, et al.
Published: (2024)
ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling
by: Huang, Chenyu, et al.
Published: (2024)
by: Huang, Chenyu, et al.
Published: (2024)
EUGens: Efficient, Unified, and General Dense Layers
by: Kim, Sang Min, et al.
Published: (2026)
by: Kim, Sang Min, et al.
Published: (2026)
UniPrompt-CL: Sustainable Continual Learning in Medical AI with Unified Prompt Pools
by: Oh, Gyutae, et al.
Published: (2025)
by: Oh, Gyutae, et al.
Published: (2025)
Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing
by: Li, Gengsheng, et al.
Published: (2026)
by: Li, Gengsheng, et al.
Published: (2026)
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach
by: Xie, Zheng, et al.
Published: (2023)
by: Xie, Zheng, et al.
Published: (2023)
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games
by: Su, Kefan, et al.
Published: (2024)
by: Su, Kefan, et al.
Published: (2024)
P^2O: Joint Policy and Prompt Optimization
by: Lu, Xinyu, et al.
Published: (2026)
by: Lu, Xinyu, et al.
Published: (2026)
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
by: Gao, Yang, et al.
Published: (2025)
by: Gao, Yang, et al.
Published: (2025)
Generalized Preference Optimization: A Unified Approach to Offline Alignment
by: Tang, Yunhao, et al.
Published: (2024)
by: Tang, Yunhao, et al.
Published: (2024)
Similar Items
-
Nexus : An Agentic Framework for Time Series Forecasting
by: Das, Sarkar Snigdha Sarathi, et al.
Published: (2026) -
A General Benchmark Framework is Dynamic Graph Neural Network Need
by: Zhang, Yusen
Published: (2024) -
Online and Customizable Fairness-aware Learning
by: Zhang, Wenbin
Published: (2020) -
PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning
by: Wu, John, et al.
Published: (2026) -
PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow
by: Klamkin, Michael, et al.
Published: (2025)