This is the official repo for "PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization". PromptAgent is a novel automatic prompt optimization method that autonomously crafts prompts equivalent in quality to those handcrafted by experts, i.e., expert-level prompts.
☆351Jul 17, 2025Updated 8 months ago
Alternatives and similar repositories for PromptAgent
Users that are interested in PromptAgent are comparing it to the libraries listed below
Sorting:
- A library for advanced large language model reasoning☆2,338Jun 10, 2025Updated 9 months ago
- Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models☆404Mar 27, 2024Updated last year
- official code for "Large Language Models as Optimizers"☆717Dec 4, 2024Updated last year
- Source code for GreaTer ICLR 2025 - Gradient Over Reasoning makes Smaller Language Models Strong Prompt Optimizers☆36Apr 18, 2025Updated 11 months ago
- A dataset of news headlines for detecting causalities☆14May 9, 2022Updated 3 years ago
- Code for ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context☆17Nov 15, 2024Updated last year
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆53Jun 24, 2024Updated last year
- ☆1,346Apr 29, 2024Updated last year
- This is the code repo for our paper "Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognitio…☆111Oct 9, 2025Updated 5 months ago
- Visualize linear programming at https://lpviz.net☆33Jan 20, 2026Updated 2 months ago
- ☆39Dec 14, 2024Updated last year
- [ACL 2024] AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning☆235Jan 13, 2025Updated last year
- Automatic prompt optimization framework for multi-step agent tasks.☆37Nov 12, 2024Updated last year
- Official Implementation of InstructZero; the first framework to optimize bad prompts of ChatGPT(API LLMs) and finally obtain good prompts…☆199Jul 23, 2024Updated last year
- Official code repository for Sketch-of-Thought (SoT)☆136May 8, 2025Updated 10 months ago
- Official implementation of the paper Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers☆221Sep 22, 2025Updated 5 months ago
- Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding.☆13Nov 19, 2024Updated last year
- ☆22Oct 25, 2024Updated last year
- 雅意信息抽取大模型：在百万级人工构造的高质量信息抽取数据上进行指令微调，由中科闻歌算法团队研发。 (Repo for YAYI Unified Information Extraction Model)☆316Aug 8, 2024Updated last year
- [NAACL'25] Evaluating LLMs for Causal Queries☆13Feb 18, 2025Updated last year
- Self-Reflection in LLM Agents: Effects on Problem-Solving Performance☆94Nov 25, 2024Updated last year
- (ICLR 2026) Optimas: Optimizing Compound AI Systems☆75Feb 6, 2026Updated last month
- A Python implementation of an agent swarm system that works with local LLM servers. The system allows you to create multiple agents that …☆12Nov 20, 2024Updated last year
- [NeurIPS 2023] We use large language models as commonsense world model and heuristic policy within Monte-Carlo Tree Search, enabling bett…☆300Nov 16, 2024Updated last year
- [EMNLP'24 (Main)] DRPO(Dynamic Rewarding with Prompt Optimization) is a tuning-free approach for self-alignment. DRPO leverages a search-…☆24Nov 17, 2024Updated last year
- A framework for prompt tuning using Intent-based Prompt Calibration☆2,949Dec 2, 2025Updated 3 months ago
- Bayes-Adaptive RL for LLM Reasoning☆46May 28, 2025Updated 9 months ago
- ☆99Jun 12, 2024Updated last year
- ☆2,890Feb 20, 2025Updated last year
- [NAACL'24] Dataset, code and models for "TableLlama: Towards Open Large Generalist Models for Tables".☆135May 14, 2024Updated last year
- A library for prompt engineering and optimization (SAMMO = Structure-aware Multi-Objective Metaprompt Optimization)☆753Jun 23, 2025Updated 8 months ago
- TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.☆3,424Jul 25, 2025Updated 7 months ago
- Coherence boosting: When your pretrained language model is not paying enough attention (ACL 2022) https://arxiv.org/abs/2110.08294☆15Apr 23, 2023Updated 2 years ago
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆137Jul 8, 2024Updated last year
- Multimodal RAG using LlamaIndex, Qdrant, llama.cpp for document QA with local VisonLLM and embedding models☆18Nov 8, 2024Updated last year
- ☆148Jul 1, 2024Updated last year
- [NAACL 2024 Findings] Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning☆15Jul 8, 2024Updated last year
- [TMLR] Cumulative Reasoning With Large Language Models (https://arxiv.org/abs/2308.04371)☆308Aug 2, 2025Updated 7 months ago
- Official codes for EMNLP 2024 paper "Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models"☆38Dec 14, 2024Updated last year