Raj-08 / Q-Flow
Complete Reinforcement Learning Toolkit for Large Language Models!
☆12Updated 2 weeks ago
Alternatives and similar repositories for Q-Flow:
Users that are interested in Q-Flow are comparing it to the libraries listed below
- ☆15Updated 8 months ago
- ☆20Updated 4 months ago
- ☆16Updated 9 months ago
- Self-Supervised Alignment with Mutual Information☆16Updated 10 months ago
- [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning☆41Updated 8 months ago
- Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards" (NeurIPS 2024)☆50Updated 4 months ago
- Conic10K: A large-scale dataset for closed-vocabulary math problem understanding. Accepted to EMNLP2023 Findings.☆25Updated last year
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆32Updated 10 months ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆26Updated 11 months ago
- Code and models for EMNLP 2024 paper "WPO: Enhancing RLHF with Weighted Preference Optimization"☆38Updated 6 months ago
- ☆48Updated last month
- Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""☆12Updated 7 months ago
- ☆52Updated 8 months ago
- SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433☆24Updated 3 months ago
- ☆13Updated last year
- The code for creating the iGSM datasets in papers "Physics of Language Models Part 2.1, Grade-School Math and the Hidden Reasoning Proces…☆40Updated 2 months ago
- ICML 2024 - Official Repository for EXO: Towards Efficient Exact Optimization of Language Model Alignment☆53Updated 9 months ago
- The code and data for the paper JiuZhang3.0☆43Updated 10 months ago
- Source code for paper Are Human-generated Demonstrations Necessary for In-context Learning☆12Updated last year
- ☆18Updated 5 months ago
- ☆81Updated last year
- ☆18Updated 10 months ago
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated last year
- ☆29Updated 3 months ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆48Updated 2 years ago
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆80Updated 6 months ago
- Enable Next-sentence Prediction for Large Language Models with Faster Speed, Higher Accuracy and Longer Context☆28Updated 7 months ago
- This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…☆27Updated 6 months ago
- ☆33Updated last year
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆45Updated 3 months ago