RyanLiu112 / compute-optimal-ttsLinks
Official codebase for "Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling".
☆273Updated 8 months ago
Alternatives and similar repositories for compute-optimal-tts
Users that are interested in compute-optimal-tts are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2025 Spotlight] ReasonFlux Series - ReasonFlux, ReasonFlux-PRM and ReasonFlux-Coder☆494Updated last month
- Official repo for paper: "Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't"☆267Updated 2 weeks ago
- L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning☆259Updated 5 months ago
- Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling☆449Updated 5 months ago
- AN O1 REPLICATION FOR CODING☆336Updated 10 months ago
- Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning☆190Updated 7 months ago
- ☆322Updated 5 months ago
- [NeurIPS 2025] Reinforcement Learning for Reasoning in Large Language Models with One Training Example☆371Updated 2 weeks ago
- Tina: Tiny Reasoning Models via LoRA☆302Updated last month
- A highly capable 2.4B lightweight LLM using only 1T pre-training data with all details.☆218Updated 3 months ago
- ☆225Updated 2 months ago
- Pre-trained, Scalable, High-performance Reward Models via Policy Discriminative Learning.☆158Updated last month
- Official Repository of "Learning to Reason under Off-Policy Guidance"☆350Updated 3 weeks ago
- [NeurIPS 2025] TTRL: Test-Time Reinforcement Learning☆878Updated last month
- Scaling RL on advanced reasoning models☆620Updated last week
- Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs☆191Updated 3 weeks ago
- Code for the paper: "Learning to Reason without External Rewards"☆366Updated 3 months ago
- repo for paper https://arxiv.org/abs/2504.13837☆203Updated 4 months ago
- ☆303Updated 5 months ago
- ☆334Updated 3 months ago
- Large Reasoning Models☆805Updated 10 months ago
- Towards a Unified View of Large Language Model Post-Training☆170Updated last month
- Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL.☆473Updated last month
- End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning☆308Updated last month
- Benchmark and research code for the paper SWEET-RL Training Multi-Turn LLM Agents onCollaborative Reasoning Tasks☆248Updated 5 months ago
- CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models (NeurIPS 2025)☆155Updated 2 weeks ago
- 🚀ReVisual-R1 is a 7B open-source multimodal language model that follows a three-stage curriculum—cold-start pre-training, multimodal rei…☆187Updated 2 weeks ago
- ☆211Updated 8 months ago
- A framework to study AI models in Reasoning, Alignment, and use of Memory (RAM).☆295Updated last week
- An Open-Source Large-Scale Reinforcement Learning Project for Search Agents☆471Updated 3 weeks ago