kyegomez / EAOTLinks
The open source implementation of "Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers"
☆19Updated last year
Alternatives and similar repositories for EAOT
Users that are interested in EAOT are comparing it to the libraries listed below
Sorting:
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Updated last year
- Implementation of "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"☆40Updated last year
- ☆16Updated last year
- Codebase for Instruction Following without Instruction Tuning☆36Updated last year
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆33Updated last year
- CodeUltraFeedback: aligning large language models to coding preferences (TOSEM 2025)☆73Updated last year
- ☆20Updated last year
- The code implementation of MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models…☆38Updated last year
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆62Updated last year
- ☆64Updated last year
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆45Updated 3 months ago
- Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTO…☆58Updated 2 weeks ago
- ☆29Updated last year
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆28Updated 2 weeks ago
- Q-Probe: A Lightweight Approach to Reward Maximization for Language Models☆41Updated last year
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Updated 2 years ago
- A dataset of LLM-generated chain-of-thought steps annotated with mistake location.☆85Updated last year
- The repository contains code for Adaptive Data Optimization☆30Updated last year
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆56Updated 11 months ago
- In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning☆35Updated 2 years ago
- [ACL 2025] Are Your LLMs Capable of Stable Reasoning?☆32Updated 5 months ago
- SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning. COLM 2024 Accepted Paper☆32Updated last year
- Minimal implementation of the Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models paper (ArXiv 20232401.01335)☆29Updated last year
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆52Updated 7 months ago
- Automatic prompt optimization framework for multi-step agent tasks.☆36Updated last year
- [NeurIPS'24 LanGame workshop] On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability☆41Updated 6 months ago
- This repository contains the code and data for the paper "VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception o…☆27Updated 5 months ago
- ☆31Updated last year
- ☆26Updated 2 years ago