amzn / extremely-efficient-query-encoderLinks
efficient query encoding for dense retrieval
☆11Updated 10 months ago
Alternatives and similar repositories for extremely-efficient-query-encoder
Users that are interested in extremely-efficient-query-encoder are comparing it to the libraries listed below
Sorting:
- ☆13Updated 9 months ago
- official repo of AAAI2024 paper Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence Regularization☆13Updated last year
- HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation [ACL 2023]☆14Updated last year
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Updated last year
- ☆21Updated 7 months ago
- PyTorch Implementation of the paper "MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training"☆24Updated 3 weeks ago
- Code for our paper Resources and Evaluations for Multi-Distribution Dense Information Retrieval☆14Updated last year
- Aioli: A unified optimization framework for language model data mixing☆27Updated 5 months ago
- ☆17Updated 3 weeks ago
- ☆22Updated 4 months ago
- ☆9Updated last year
- This library supports evaluating disparities in generated image quality, diversity, and consistency between geographic regions.☆20Updated last year
- code for paper "Accessing higher dimensions for unsupervised word translation"☆21Updated last year
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆30Updated 3 weeks ago
- Simplifying parsing of large jsonline files in NLP Workflows☆12Updated 3 years ago
- Minimum Description Length probing for neural network representations☆18Updated 4 months ago
- Code for paper: "LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits"☆13Updated 8 months ago
- Plancraft is a minecraft environment and agent suite to test planning capabilities in LLMs☆15Updated 2 weeks ago
- ☆15Updated 2 months ago
- ☆20Updated 2 months ago
- ☆14Updated 8 months ago
- This is a new metric that can be used to evaluate faithfulness of text generated by LLMs. The work behind this repository can be found he…☆31Updated last year
- Submission to the inverse scaling prize☆23Updated last year
- Shows how to do parameter ensembling using differential evolution.☆10Updated 3 years ago
- 🧪Create domain-adapted language models by distilling from many pre-trained LMs☆10Updated 2 years ago
- ☆21Updated 3 months ago
- ☆13Updated 6 months ago
- 📰 Computing the information content of trained neural networks☆21Updated 3 years ago
- ☆25Updated last year
- Plug-and-play Search Interfaces with Pyserini and Hugging Face☆32Updated last year