weigq / openview_quicklookLinks
☆34Updated 4 months ago
Alternatives and similar repositories for openview_quicklook
Users that are interested in openview_quicklook are comparing it to the libraries listed below
Sorting:
- ☆87Updated last year
- official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…☆65Updated 3 months ago
- This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity☆44Updated last year
- ☆54Updated 8 months ago
- Directional Preference Alignment☆57Updated 9 months ago
- [ICLR 2025] Code for the paper "Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning"☆65Updated 5 months ago
- Code for "Reasoning to Learn from Latent Thoughts"☆112Updated 3 months ago
- OpenReivew Submission Visualization (ICLR 2024/2025)☆151Updated 8 months ago
- Crawl & Visualize ICLR 2023 Data from OpenReview☆84Updated 2 years 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…☆59Updated 6 months ago
- [ICML 2024] Language Models Represent Beliefs of Self and Others☆33Updated 9 months ago
- Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment☆69Updated last year
- ☆131Updated last year
- Code for Contrastive Preference Learning (CPL)☆173Updated 7 months ago
- ☆44Updated 2 years ago
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆44Updated 3 months ago
- Online Adaptation of Language Models with a Memory of Amortized Contexts (NeurIPS 2024)☆63Updated 11 months ago
- Domain-specific preference (DSP) data and customized RM fine-tuning.☆25Updated last year
- ICML 2024 - Official Repository for EXO: Towards Efficient Exact Optimization of Language Model Alignment☆58Updated last year
- ☆32Updated 8 months ago
- Rewarded soups official implementation☆58Updated last year
- Code for "Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining"☆18Updated 3 months ago
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆29Updated last year
- ☆84Updated 11 months ago
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆91Updated 2 months ago
- Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards" (NeurIPS 2024)☆54Updated 8 months ago
- Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging☆108Updated last year
- Official PyTorch Implementation of the Longhorn Deep State Space Model☆52Updated 7 months ago
- Self-Supervised Alignment with Mutual Information☆20Updated last year
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆123Updated 10 months ago