mandyyyyii / eastLinks
☆18Updated 2 months ago
Alternatives and similar repositories for east
Users that are interested in east are comparing it to the libraries listed below
Sorting:
- ☆32Updated 5 months ago
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Updated last year
- Aioli: A unified optimization framework for language model data mixing☆27Updated 5 months ago
- The official implementation of Regularized Policy Gradient (RPG) (https://arxiv.org/abs/2505.17508)☆35Updated last week
- Reinforcing General Reasoning without Verifiers☆60Updated last week
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆30Updated 5 months ago
- An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)☆27Updated 4 months ago
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆32Updated 3 months ago
- Exploration of automated dataset selection approaches at large scales.☆45Updated 3 months ago
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆37Updated 7 months ago
- [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)☆79Updated 8 months ago
- ☆65Updated last year
- This repo is based on https://github.com/jiaweizzhao/GaLore☆28Updated 9 months ago
- [ACL 2025] Are Your LLMs Capable of Stable Reasoning?☆25Updated 3 months ago
- ☆19Updated 3 months ago
- ☆20Updated 11 months ago
- AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories☆18Updated last month
- Code Implementation, Evaluations, Documentation, Links and Resources for Min P paper☆38Updated 3 months ago
- Open-Source LLM Coders with Co-Evolving Reinforcement Learning☆83Updated 2 weeks ago
- ☆18Updated 4 months ago
- ☆14Updated last year
- The code implementation of MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models…☆34Updated last year
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- The repository contains code for Adaptive Data Optimization☆25Updated 6 months ago
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆57Updated 9 months ago
- ☆20Updated last week
- Efficient Scaling laws and collaborative pretraining.☆16Updated 4 months ago
- Make reasoning models scalable☆37Updated 3 weeks ago
- Code for RATIONALYST: Pre-training Process-Supervision for Improving Reasoning https://arxiv.org/pdf/2410.01044☆33Updated 8 months ago
- Process Reward Models That Think☆41Updated 3 weeks ago