ExtensityAI / benchmarkLinks
Evaluation of neuro-symbolic engines
☆39Updated last year
Alternatives and similar repositories for benchmark
Users that are interested in benchmark are comparing it to the libraries listed below
Sorting:
- ☆69Updated last year
- Learning Universal Predictors☆79Updated last year
- Understanding how features learned by neural networks evolve throughout training☆37Updated 10 months ago
- Functional Benchmarks and the Reasoning Gap☆88Updated 11 months ago
- Sparse and discrete interpretability tool for neural networks☆63Updated last year
- Repository for the paper Stream of Search: Learning to Search in Language☆150Updated 7 months ago
- ☆164Updated last year
- Implementation of OpenAI's 'Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets' paper.☆39Updated last year
- ☆99Updated 8 months ago
- Aioli: A unified optimization framework for language model data mixing☆27Updated 7 months ago
- Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs☆38Updated last year
- Official implementation of "BERTs are Generative In-Context Learners"☆32Updated 6 months ago
- [ACL 2024] <Large Language Models for Automated Open-domain Scientific Hypotheses Discovery>. It has also received the best poster award …☆42Updated 10 months ago
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆192Updated last year
- Discovering Data-driven Hypotheses in the Wild☆110Updated 3 months ago
- ☆35Updated 9 months ago
- ☆98Updated 4 months ago
- Experiments for efforts to train a new and improved t5☆76Updated last year
- ☆51Updated 5 months ago
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆77Updated 9 months ago
- ☆107Updated 7 months ago
- Advanced Reasoning Benchmark Dataset for LLMs☆47Updated last year
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆59Updated last year
- Dataset and evaluation suite enabling LLM instruction-following for scientific literature understanding.☆42Updated 5 months ago
- ☆23Updated 5 months ago
- Q-Probe: A Lightweight Approach to Reward Maximization for Language Models☆41Updated last year
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆75Updated last year
- ☆45Updated last year
- One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation☆42Updated 11 months ago
- ☆28Updated 4 months ago