RUCAIBox / GPOLinks
About The official GitHub page for ''Unleashing the Potential of Large Language Models as Prompt Optimizers: An Analogical Analysis with Gradient-based Model Optimizers'' Resources
☆23Updated 7 months ago
Alternatives and similar repositories for GPO
Users that are interested in GPO are comparing it to the libraries listed below
Sorting:
- ☆47Updated last month
- [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages☆48Updated 7 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆50Updated last month
- ☆102Updated 7 months ago
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated last year
- This is the implementation for the paper "LARGE LANGUAGE MODEL CASCADES WITH MIX- TURE OF THOUGHT REPRESENTATIONS FOR COST- EFFICIENT REA…☆24Updated last year
- A dataset of LLM-generated chain-of-thought steps annotated with mistake location.☆81Updated 11 months ago
- The source code and dataset mentioned in the paper Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmar…☆52Updated 8 months ago
- Minimal implementation of the Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models paper (ArXiv 20232401.01335)☆28Updated last year
- Code for ICLR 2024 paper "CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets"☆57Updated last year
- Open source code of the paper: "OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain"☆67Updated 6 months ago
- Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning☆81Updated last year
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆145Updated 8 months ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆114Updated last year
- Resources for our paper: "EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms"☆113Updated 8 months ago
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆68Updated 2 months ago
- ☆41Updated 9 months ago
- [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples☆100Updated last month
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated last year
- Co-LLM: Learning to Decode Collaboratively with Multiple Language Models☆115Updated last year
- Revisiting Mid-training in the Era of Reinforcement Learning Scaling☆137Updated this week
- RL Scaling and Test-Time Scaling (ICML'25)☆108Updated 5 months ago
- Official implementation of ACL 2025 Findings paper "Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Text…☆82Updated last month
- ☆88Updated 8 months ago
- Scalable Meta-Evaluation of LLMs as Evaluators☆42Updated last year
- This the implementation of LeCo☆31Updated 5 months ago
- Pytorch implementation for "Compressed Context Memory For Online Language Model Interaction" (ICLR'24)☆61Updated last year
- ☆50Updated last year
- DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents☆190Updated 3 weeks ago
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆56Updated last year