gregorbachmann / Next-Token-FailuresLinks
☆107Updated last year
Alternatives and similar repositories for Next-Token-Failures
Users that are interested in Next-Token-Failures are comparing it to the libraries listed below
Sorting:
- ICML 2024 - Official Repository for EXO: Towards Efficient Exact Optimization of Language Model Alignment☆57Updated last year
- [ICLR 2025] Code for the paper "Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning"☆87Updated 11 months ago
- Directional Preference Alignment☆58Updated last year
- Self-Supervised Alignment with Mutual Information☆20Updated last year
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- ☆112Updated last year
- Code for "Reasoning to Learn from Latent Thoughts"☆124Updated 9 months ago
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆124Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆87Updated last year
- Stick-breaking attention☆62Updated 6 months ago
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆32Updated last year
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆64Updated 5 months ago
- Sparse Backpropagation for Mixture-of-Expert Training☆29Updated last year
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆46Updated 9 months ago
- The code for creating the iGSM datasets in papers "Physics of Language Models Part 2.1, Grade-School Math and the Hidden Reasoning Proces…☆82Updated last year
- Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""☆19Updated 7 months ago
- ☆57Updated last year
- ☆51Updated last year
- Simple and efficient pytorch-native transformer training and inference (batched)☆79Updated last year
- Long Context Extension and Generalization in LLMs☆62Updated last year
- Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]☆147Updated last year
- A curated list of awesome resources dedicated to Scaling Laws for LLMs☆80Updated 2 years ago
- A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models☆70Updated 10 months ago
- Replicating O1 inference-time scaling laws☆90Updated last year
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆107Updated 3 months ago
- Exploration of automated dataset selection approaches at large scales.☆53Updated 10 months ago
- [NeurIPS'24 Spotlight] Observational Scaling Laws☆59Updated last year
- Online Adaptation of Language Models with a Memory of Amortized Contexts (NeurIPS 2024)☆71Updated last year
- ☆35Updated last year