princeton-pli / what-makes-good-rmLinks
[NeurIPS 2025] What Makes a Reward Model a Good Teacher? An Optimization Perspective
☆41Updated 3 months ago
Alternatives and similar repositories for what-makes-good-rm
Users that are interested in what-makes-good-rm are comparing it to the libraries listed below
Sorting:
- official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…☆70Updated 8 months ago
- Code for "Reasoning to Learn from Latent Thoughts"☆124Updated 8 months ago
- A Sober Look at Language Model Reasoning☆92Updated last month
- Lightweight Adapting for Black-Box Large Language Models☆24Updated last year
- A curated list of resources on Reinforcement Learning with Verifiable Rewards (RLVR) and the reasoning capability boundary of Large Langu…☆85Updated 2 weeks ago
- ☆34Updated 7 months ago
- [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)☆148Updated 5 months ago
- Discriminative Constrained Optimization for Reinforcing Large Reasoning Models☆47Updated last month
- Optimizing Anytime Reasoning via Budget Relative Policy Optimization☆50Updated 5 months ago
- [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"☆13Updated last year
- Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)☆48Updated 7 months ago
- ☆17Updated 4 months ago
- Code for "Variational Reasoning for Language Models"☆53Updated 2 months ago
- Test-time-training on nearest neighbors for large language models☆49Updated last year
- [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization☆32Updated 11 months ago
- [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization☆93Updated last year
- ☆20Updated last month
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆46Updated 8 months ago
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆50Updated last year
- ☆18Updated last year
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆41Updated last year
- ☆45Updated 3 months ago
- This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"☆72Updated 8 months ago
- Code for "Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining"☆26Updated 2 months ago
- ☆197Updated this week
- Rewarded soups official implementation☆62Updated 2 years ago
- Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."☆50Updated last year
- This is the official repo for Towards Uncertainty-Aware Language Agent.☆31Updated last year
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆37Updated 5 months ago
- ☆19Updated last year