belindal / state-trackingLinks
Code and data for paper "(How) do Language Models Track State?"
☆21Updated 8 months ago
Alternatives and similar repositories for state-tracking
Users that are interested in state-tracking are comparing it to the libraries listed below
Sorting:
- FlexAttention w/ FlashAttention3 Support☆27Updated last year
- ☆34Updated last year
- Here we will test various linear attention designs.☆62Updated last year
- Official code for the paper "Attention as a Hypernetwork"☆46Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- Xmixers: A collection of SOTA efficient token/channel mixers☆28Updated 3 months ago
- Using FlexAttention to compute attention with different masking patterns☆47Updated last year
- Implementation of Hyena Hierarchy in JAX☆10Updated 2 years ago
- ☆51Updated last year
- ☆20Updated last year
- Parallel Associative Scan for Language Models☆18Updated last year
- Expanding linear RNN state-transition matrix eigenvalues to include negatives improves state-tracking tasks and language modeling without…☆17Updated 9 months ago
- Awesome Triton Resources☆38Updated 7 months ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆86Updated last year
- Triton Implementation of HyperAttention Algorithm☆48Updated 2 years ago
- Efficient PScan implementation in PyTorch☆17Updated last year
- ☆32Updated last year
- Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"☆18Updated last year
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆40Updated 2 years ago
- Official Code Repository for the paper "Key-value memory in the brain"☆31Updated 9 months ago
- Measuring the Signal to Noise Ratio in Language Model Evaluation☆27Updated 4 months ago
- ☆35Updated last year
- [ICML 24 NGSM workshop] Associative Recurrent Memory Transformer implementation and scripts for training and evaluation☆58Updated 2 weeks ago
- ☆42Updated last month
- HGRN2: Gated Linear RNNs with State Expansion☆56Updated last year
- Source-to-Source Debuggable Derivatives in Pure Python☆15Updated last year
- Open-sourcing code associated with the AAAI-25 paper "On the Expressiveness and Length Generalization of Selective State-Space Models on …☆15Updated 3 months ago
- ☆23Updated 7 months ago
- Stick-breaking attention☆62Updated 5 months ago
- Code for the paper "Function-Space Learning Rates"☆23Updated 6 months ago