ltgoslo / bert-in-contextLinks
Official implementation of "BERTs are Generative In-Context Learners"
☆32Updated 10 months ago
Alternatives and similar repositories for bert-in-context
Users that are interested in bert-in-context are comparing it to the libraries listed below
Sorting:
- ☆68Updated last year
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆61Updated last year
- ☆91Updated last year
- ☆29Updated 3 months ago
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆94Updated last year
- Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"☆91Updated last year
- A repository for research on medium sized language models.☆77Updated last year
- Experiments for efforts to train a new and improved t5☆76Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆89Updated last year
- ☆82Updated last year
- [ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers☆75Updated 7 months ago
- PyTorch library for Active Fine-Tuning☆96Updated 4 months ago
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆78Updated last year
- Minimum Description Length probing for neural network representations☆20Updated last year
- ☆41Updated last year
- Language models scale reliably with over-training and on downstream tasks☆99Updated last year
- ReBase: Training Task Experts through Retrieval Based Distillation☆29Updated last year
- Functional Benchmarks and the Reasoning Gap☆89Updated last year
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated 2 years ago
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆45Updated 4 months ago
- Aioli: A unified optimization framework for language model data mixing☆32Updated last year
- Replicating O1 inference-time scaling laws☆93Updated last year
- A fast implementation of T5/UL2 in PyTorch using Flash Attention☆113Updated 3 months ago
- Repository for the paper Stream of Search: Learning to Search in Language☆153Updated last year
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆63Updated last year
- State-of-the-art paired encoder and decoder models (17M-1B params)☆58Updated 6 months ago
- ☆52Updated 10 months ago
- ☆105Updated last year
- Implementation of the BatchTopK activation function for training sparse autoencoders (SAEs)☆60Updated 6 months ago
- ☆56Updated last year