BYU-PCCL / prompt-compression-contrastive-codingLinks
Companion repository to "Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models"
☆14Updated 2 years ago
Alternatives and similar repositories for prompt-compression-contrastive-coding
Users that are interested in prompt-compression-contrastive-coding are comparing it to the libraries listed below
Sorting:
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated 2 years ago
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆16Updated 4 years ago
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated 8 months ago
- ☆30Updated 2 years ago
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated last year
- PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"☆37Updated 2 years ago
- RWKV model implementation☆37Updated 2 years ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- Google Research☆46Updated 3 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆49Updated 4 years ago
- Code for the paper "Query-Key Normalization for Transformers"☆51Updated 4 years ago
- ☆36Updated last year
- Code for LaMPP: Language Models as Probabilistic Priors for Perception and Action☆37Updated 2 years ago
- The Energy Transformer block, in JAX☆63Updated 2 years ago
- ☆46Updated 2 years ago
- Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients☆26Updated last year
- Self-Supervised Alignment with Mutual Information☆20Updated last year
- ☆32Updated 2 years ago
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆40Updated 2 years ago
- Repo for "Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks" ACL 2023 Findings☆15Updated 2 years ago
- ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…☆33Updated 2 years ago
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Updated 2 years ago
- ☆26Updated 2 years ago
- ☆19Updated 6 months ago
- An adaptive training algorithm for residual network☆17Updated 5 years ago
- ☆20Updated last year
- ☆22Updated 4 years ago
- ☆29Updated 3 months ago
- ☆108Updated last year
- Latest Weight Averaging (NeurIPS HITY 2022)☆32Updated 2 years ago