MadryLab / DsDmLinks
☆50Updated last year
Alternatives and similar repositories for DsDm
Users that are interested in DsDm are comparing it to the libraries listed below
Sorting:
- Test-time-training on nearest neighbors for large language models☆46Updated last year
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆59Updated last month
- ☆38Updated last year
- AI Logging for Interpretability and Explainability🔬☆126Updated last year
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆128Updated 2 months ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆31Updated 7 months ago
- ☆38Updated last year
- Code accompanying the paper "Massive Activations in Large Language Models"☆176Updated last year
- ☆97Updated last year
- ☆52Updated 4 months ago
- Exploration of automated dataset selection approaches at large scales.☆47Updated 6 months ago
- Language models scale reliably with over-training and on downstream tasks☆99Updated last year
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆44Updated 5 months ago
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆123Updated last year
- ☆52Updated 5 months ago
- Function Vectors in Large Language Models (ICLR 2024)☆179Updated 4 months ago
- ☆48Updated last year
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆39Updated 10 months ago
- ☆44Updated last year
- ☆31Updated last year
- A library for efficient patching and automatic circuit discovery.☆76Updated last month
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆59Updated last year
- ☆73Updated 3 years ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆82Updated 10 months ago
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆92Updated 9 months ago
- Learning adapter weights from task descriptions☆19Updated last year
- [NeurIPS'24 Spotlight] Observational Scaling Laws☆58Updated 11 months ago
- Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]☆18Updated last year
- The repository contains code for Adaptive Data Optimization☆25Updated 9 months ago
- A Sober Look at Language Model Reasoning☆82Updated 2 months ago