safety-research / inverse-scaling-ttcLinks
Inverse Scaling in Test-Time Compute
☆22Updated last month
Alternatives and similar repositories for inverse-scaling-ttc
Users that are interested in inverse-scaling-ttc are comparing it to the libraries listed below
Sorting:
- Exploration of automated dataset selection approaches at large scales.☆47Updated 6 months ago
- Reinforcing General Reasoning without Verifiers☆81Updated 2 months ago
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆33Updated 2 weeks ago
- Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"☆88Updated last year
- Long Context Extension and Generalization in LLMs☆59Updated 11 months ago
- ☆98Updated last year
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Updated last year
- Official Repo for InSTA: Towards Internet-Scale Training For Agents☆55Updated last month
- CodeUltraFeedback: aligning large language models to coding preferences (TOSEM 2025)☆72Updated 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 9 months ago
- ☆39Updated 2 months ago
- ☆28Updated 6 months ago
- The official implementation of Regularized Policy Gradient (RPG) (https://arxiv.org/abs/2505.17508)☆36Updated this week
- ☆34Updated 8 months ago
- ReasonFlux-Coder: Open-Source LLM Coders with Co-Evolving Reinforcement Learning☆111Updated last week
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆30Updated last year
- Code for "Reasoning to Learn from Latent Thoughts"☆117Updated 5 months ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆82Updated 10 months ago
- Replicating O1 inference-time scaling laws☆89Updated 9 months ago
- Self-Supervised Alignment with Mutual Information☆21Updated last year
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆86Updated 11 months ago
- ☆104Updated 11 months ago
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆91Updated 9 months ago
- ☆31Updated last year
- ☆85Updated last year
- ☆72Updated 2 weeks ago
- ☆100Updated last year
- Learning to Retrieve by Trying - Source code for Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval☆49Updated 10 months ago
- ☆65Updated last year