ctlllll / reward_collapseLinks
☆27Updated 2 years ago
Alternatives and similar repositories for reward_collapse
Users that are interested in reward_collapse are comparing it to the libraries listed below
Sorting:
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆32Updated last year
- The repository contains code for Adaptive Data Optimization☆25Updated 9 months ago
- ☆18Updated 10 months ago
- Self-Supervised Alignment with Mutual Information☆21Updated last year
- PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"☆37Updated last year
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆29Updated this week
- ☆99Updated last year
- ☆34Updated 8 months ago
- CodeUltraFeedback: aligning large language models to coding preferences (TOSEM 2025)☆72Updated last year
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆44Updated last year
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Updated last year
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆59Updated last year
- ☆20Updated last year
- Exploration of automated dataset selection approaches at large scales.☆47Updated 6 months ago
- ☆11Updated last year
- Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs☆39Updated last year
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆32Updated last year
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆31Updated 7 months ago
- ☆20Updated last year
- ☆100Updated last year
- Replicating O1 inference-time scaling laws☆90Updated 9 months ago
- Pile Deduplication Code☆19Updated 2 years ago
- Self-Alignment with Principle-Following Reward Models☆165Updated 4 months ago
- Directional Preference Alignment☆59Updated 11 months ago
- Understanding the correlation between different LLM benchmarks☆29Updated last year
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆44Updated 5 months ago
- ☆45Updated last year
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆16Updated 4 months ago
- Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""☆16Updated 3 months ago