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| title: README | |
| emoji: 🐢 | |
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| # BVV-LAB | |
| Independent research in representations, memory, and modular computation. | |
| BVV-LAB Research is an independent scientific initiative exploring how learning systems represent information, organize memory, and coordinate computation and action. Our current work focuses on language-model architectures, with a longer-term interest in robotics and embodied interaction. | |
| ## Research directions | |
| - **Representations and input interfaces:** distinguishing token identity from learned representations and studying fixed alternatives to trainable input tables. | |
| - **Modular architectures:** investigating interfaces between contextual computation, persistent memory, and executable skills. | |
| - **Experimental methodology:** evaluating capabilities, testing interfaces, and separating observed behavior from proposed explanations. | |
| ## Current projects | |
| ### Fixed token representations | |
| Experiments on language modeling without independently trainable token-specific input vectors. | |
| [Paper](https://huggingface.co/papers/2610.04002) · [Models and artifacts](https://huggingface.co/collections/Bochkov/do-language-models-need-a-trainable-input-embedding-table) | |
| ### Modular language-model systems | |
| Experiments with reconstructive memories, executable skills, and explicit interfaces for coordinating independently constructed components. | |
| [Paper](https://huggingface.co/papers/2610.04012) · [Models and artifacts](https://huggingface.co/collections/Bochkov/beyond-the-parameter-monolith-modular-language-modeling) | |
| ## Open research | |
| We publish models, code, experimental methods, and findings—including limitations and negative results—to support independent evaluation, further research, and teaching. | |
| Each release documents its own scope, requirements, and limitations. Research prototypes should not be treated as validated deployment systems. | |
| Existing project artifacts are currently hosted under [Bochkov](https://huggingface.co/Bochkov); this organization provides a shared home for the developing research initiative. | |
| ## Collaboration | |
| The initiative is currently maintained by [Andrey Bochkov](https://huggingface.co/Bochkov). | |
| Contributions are welcome in independent replication, evaluation, architecture design, representation analysis, and educational materials. To discuss a specific project, please open a discussion in the relevant model repository. | |
| When using an artifact, please consult its model card for licensing, usage conditions, and citation information. |