katiekang1998 / reasoning_generalizationLinks
☆33Updated 10 months ago
Alternatives and similar repositories for reasoning_generalization
Users that are interested in reasoning_generalization are comparing it to the libraries listed below
Sorting:
- Reinforcing General Reasoning without Verifiers☆92Updated 5 months ago
- ☆89Updated last year
- Code for "Reasoning to Learn from Latent Thoughts"☆122Updated 8 months ago
- ☆20Updated 4 months ago
- The repository contains code for Adaptive Data Optimization☆28Updated 11 months ago
- ☆75Updated last year
- Exploration of automated dataset selection approaches at large scales.☆50Updated 9 months ago
- ☆20Updated last month
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆40Updated last month
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"☆31Updated last year
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆93Updated last year
- Replicating O1 inference-time scaling laws☆90Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆85Updated last year
- Official implementation of Regularized Policy Gradient (RPG) (https://arxiv.org/abs/2505.17508)☆54Updated last month
- Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)☆30Updated 2 months ago
- Official PyTorch implementation and models for paper "Diffusion Beats Autoregressive in Data-Constrained Settings". We find diffusion mod…☆109Updated last month
- ☆109Updated last year
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆84Updated last year
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆44Updated 7 months ago
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- ☆19Updated 8 months ago
- ☆100Updated last year
- ☆51Updated last year
- An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)☆35Updated 9 months ago
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆41Updated last year
- The official implementation of Self-Exploring Language Models (SELM)☆63Updated last year
- ☆23Updated 10 months ago
- Official PyTorch Implementation for Vision-Language Models Create Cross-Modal Task Representations, ICML 2025☆31Updated 7 months ago