rgreenblatt / arc_draw_more_samples_pubLinks
Draw more samples
☆198Updated last year
Alternatives and similar repositories for arc_draw_more_samples_pub
Users that are interested in arc_draw_more_samples_pub are comparing it to the libraries listed below
Sorting:
- Reverse Engineering the Abstraction and Reasoning Corpus☆327Updated 10 months ago
- ☆131Updated last year
- Public repository for "The Surprising Effectiveness of Test-Time Training for Abstract Reasoning"☆341Updated last month
- The history files when recording human interaction while solving ARC tasks☆118Updated this week
- Domain Specific Language for the Abstraction and Reasoning Corpus☆315Updated last year
- Bootstrapping ARC☆153Updated last year
- Extract full next-token probabilities via language model APIs☆248Updated last year
- Our solution for the arc challenge 2024☆186Updated 6 months ago
- ☆113Updated last month
- ☆126Updated 2 months ago
- Code for NeurIPS'24 paper 'Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization'☆234Updated 5 months ago
- Long context evaluation for large language models☆224Updated 9 months ago
- MiniHF is an inference, human preference data collection, and fine-tuning tool for local language models. It is intended to help the user…☆183Updated last month
- Materials for ConceptARC paper☆109Updated last year
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆198Updated last year
- ☆147Updated 3 months ago
- Repository for the paper Stream of Search: Learning to Search in Language☆152Updated 10 months ago
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆233Updated last year
- A toolkit for describing model features and intervening on those features to steer behavior.☆223Updated 2 weeks ago
- Open source interpretability artefacts for R1.☆165Updated 8 months ago
- Multiple datasets for ARC (Abstraction and Reasoning Corpus)☆85Updated 9 months ago
- Aidan Bench attempts to measure <big_model_smell> in LLMs.☆314Updated 6 months ago
- Emergent world representations: Exploring a sequence model trained on a synthetic task☆197Updated 2 years ago
- ☆211Updated 4 months ago
- ☆318Updated last year
- A puzzle to learn about prompting☆135Updated 2 years ago
- ☆29Updated last year
- ☆116Updated 3 weeks ago
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆174Updated 11 months ago
- ☆132Updated 2 years ago