ielab / Starbucks
Starbucks: Improved Training for 2D Matryoshka Embeddings
☆17Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for Starbucks
- INCOME: An Easy Repository for Training and Evaluation of Index Compression Methods in Dense Retrieval. Includes BPR and JPQ.☆22Updated last year
- ☆15Updated 3 months ago
- SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batchi…☆31Updated 5 months ago
- Embedding Recycling for Language models☆38Updated last year
- Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval☆37Updated 2 weeks ago
- SWIM-IR is a Synthetic Wikipedia-based Multilingual Information Retrieval training set with 28 million query-passage pairs spanning 33 la…☆44Updated 11 months ago
- ☆45Updated 2 years ago
- Source code and data for Like a Good Nearest Neighbor☆28Updated 9 months ago
- Plug-and-play Search Interfaces with Pyserini and Hugging Face☆32Updated last year
- Versatile framework designed to streamline the integration of your models, as well as those sourced from Hugging Face, into complex progr…☆23Updated 2 months ago
- Code for "Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking" (https://arxiv.org/abs/2…☆12Updated last year
- ☆37Updated last month
- SPRINT Toolkit helps you evaluate diverse neural sparse models easily using a single click on any IR dataset.☆42Updated last year
- Code for SaGe subword tokenizer (EACL 2023)☆22Updated last month
- ☆19Updated last year
- PyTorch implementation for MRL☆18Updated 8 months ago
- ☆55Updated last year
- ☆13Updated 3 months ago
- ☆10Updated 11 months ago
- Adding new tasks to T0 without catastrophic forgetting☆30Updated 2 years ago
- No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval☆27Updated 2 years ago
- ☆29Updated 9 months ago
- Few-shot Learning with Auxiliary Data☆26Updated 11 months ago
- 🌏 Modular retrievers for zero-shot multilingual IR.☆26Updated 8 months ago
- The corresponding code for our paper: "Exploring the Challenges of Open Domain Multi-Document Summarization". Do not hesitate to open an …☆31Updated last year
- Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"☆18Updated 2 months ago
- ☆14Updated last month
- ☆13Updated this week
- One-stop shop for running and fine-tuning transformer-based language models for retrieval☆27Updated this week