gkamradt / SnakeBenchLinks
☆100Updated last week
Alternatives and similar repositories for SnakeBench
Users that are interested in SnakeBench are comparing it to the libraries listed below
Sorting:
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆175Updated last year
- ☆123Updated last week
- ☆147Updated last year
- Repository for the paper Stream of Search: Learning to Search in Language☆153Updated last year
- Train your own SOTA deductive reasoning model☆107Updated 11 months ago
- accompanying material for sleep-time compute paper☆119Updated 9 months ago
- Implementation of Mind Evolution, Evolving Deeper LLM Thinking, from Deepmind☆59Updated 8 months ago
- A Qwen .5B reasoning model trained on OpenR1-Math-220k☆14Updated 4 months ago
- The Automated LLM Speedrunning Benchmark measures how well LLM agents can reproduce previous innovations and discover new ones in languag…☆128Updated 4 months ago
- Training an LLM to use a calculator with multi-turn reinforcement learning, achieving a **62% absolute increase in evaluation accuracy**.☆65Updated 9 months ago
- Official repo of paper LM2☆46Updated 11 months ago
- ☆123Updated 11 months ago
- Source code for the collaborative reasoner research project at Meta FAIR.☆112Updated 9 months ago
- ☆88Updated 7 months ago
- [EMNLP 2025] The official implementation for paper "Agentic-R1: Distilled Dual-Strategy Reasoning"☆102Updated 5 months ago
- ☆137Updated 10 months ago
- [ICLR 2026] RPG: KL-Regularized Policy Gradient (https://arxiv.org/abs/2505.17508)☆65Updated 2 weeks ago
- an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)☆110Updated 11 months ago
- ☆26Updated last year
- ☆182Updated 2 months ago
- Learning to Retrieve by Trying - Source code for Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval☆51Updated last year
- EvaByte: Efficient Byte-level Language Models at Scale☆115Updated 9 months ago
- This repo contains the source code for the paper "Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning"☆292Updated 2 months ago
- Code for ExploreTom☆90Updated 7 months ago
- [ACL 2024] Do Large Language Models Latently Perform Multi-Hop Reasoning?☆90Updated 10 months ago
- Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…☆371Updated last year
- Training teachers with reinforcement learning able to make LLMs learn how to reason for test time scaling.☆358Updated 7 months ago
- A collection of lightweight interpretability scripts to understand how LLMs think☆89Updated 2 weeks ago
- ☆148Updated last week
- Plug in & Play Pytorch Implementation of the paper: "Evolutionary Optimization of Model Merging Recipes" by Sakana AI☆31Updated last year