FuRuF-11 / AITLinks
A repository to introduce the algorithmic information theory. You could learn what is Kolmogorov complexity and why it is important here.
☆13Updated 5 months ago
Alternatives and similar repositories for AIT
Users that are interested in AIT are comparing it to the libraries listed below
Sorting:
- ☆54Updated last year
- ☆50Updated 2 years ago
- Implementation of ICLR 2025 paper "Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation"☆18Updated last year
- Implementation for NeurIPS 2024 oral paper: Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation☆16Updated 11 months ago
- ☆35Updated 9 months ago
- Tracking literature and additional online resources on transformers for sequential decision making including RL and beyond.☆49Updated 3 years ago
- official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…☆70Updated 8 months ago
- Rewarded soups official implementation☆62Updated 2 years ago
- Code for the paper: Dense Reward for Free in Reinforcement Learning from Human Feedback (ICML 2024) by Alex J. Chan, Hao Sun, Samuel Holt…☆38Updated last year
- Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)☆42Updated last year
- Minimal RLHF implementation built on top of minGPT.☆30Updated last year
- ☆77Updated last year
- Code for NeurIPS 2024 paper "Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs"☆43Updated 10 months ago
- ☆107Updated last year
- This is an official implementation of the paper ``Building Math Agents with Multi-Turn Iterative Preference Learning'' with multi-turn DP…☆32Updated last year
- Code for the paper "VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment"☆183Updated 7 months ago
- A collection of LLM with RL papers☆278Updated last year
- GenRM-CoT: Data release for verification rationales☆67Updated last year
- official code for paper Probing the Decision Boundaries of In-context Learning in Large Language Models. https://arxiv.org/abs/2406.11233…☆19Updated 5 months ago
- A brief and partial summary of RLHF algorithms.☆139Updated 9 months ago
- A new dataset of difficult graduate-level applied mathematics problems; evaluations demonstrate that leading LLMs currently exhibit low a…☆25Updated 10 months ago
- An index of algorithms for reinforcement learning from human feedback (rlhf))☆92Updated last year
- A repo for RLHF training and BoN over LLMs, with support for reward model ensembles.☆46Updated 11 months ago
- Reference implementation for Token-level Direct Preference Optimization(TDPO)☆150Updated 10 months ago
- The code for creating the iGSM datasets in papers "Physics of Language Models Part 2.1, Grade-School Math and the Hidden Reasoning Proces…☆79Updated 11 months ago
- Welcome to the 'In Context Learning Theory' Reading Group☆30Updated last year
- Code for "Reasoning to Learn from Latent Thoughts"☆124Updated 9 months ago
- ☆108Updated last year
- Code for "Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining"☆26Updated 2 months ago
- Direct preference optimization with f-divergences.☆15Updated last year