10 3 21

Youngjoon Jang

yjoonjang

yjoonjang

AI & ML interests

None yet

Recent Activity

reacted to tomaarsen's post with 🔥 about 8 hours ago

I just released Sentence Transformers v4.1; featuring ONNX and OpenVINO backends for rerankers offering 2-3x speedups and improved hard negatives mining which helps prepare stronger training datasets. Details: 🏎️ ONNX, OpenVINO, Optimization, Quantization - I've added ONNX and OpenVINO support with just one extra argument: "backend" when loading the CrossEncoder reranker, e.g.: `CrossEncoder("cross-encoder/ms-marco-MiniLM-L6-v2", backend="onnx")` - The `export_optimized_onnx_model`, `export_dynamic_quantized_onnx_model`, and `export_static_quantized_openvino_model` functions now work with CrossEncoder rerankers, allowing you to optimize (e.g. fusions, gelu approximations, etc.) or quantize (int8 weights) rerankers. - I've uploaded ~340 ONNX & OpenVINO models for all existing models under the cross-encoder Hugging Face organization. You can use these without having to export when loading. ⛏ Improved Hard Negatives Mining - Added 'absolute_margin' and 'relative_margin' arguments to `mine_hard_negatives`. - `absolute_margin` ensures that `sim(query, negative) < sim(query, positive) - absolute_margin`, i.e. an absolute margin between the negative & positive similarities. - `relative_margin` ensures that `sim(query, negative) < sim(query, positive) * (1 - relative_margin)`, i.e. a relative margin between the negative & positive similarities. - Inspired by the excellent NV-Retriever paper from NVIDIA. And several other small improvements. Check out the full release notes here: https://github.com/UKPLab/sentence-transformers/releases/tag/v4.1.0 With this release, I introduce near-feature parity between the SentenceTransformer embedding & CrossEncoder reranker models, which I've wanted to do for quite some time! With rerankers very strongly supported now, it's time to look forward to other useful architectures!

upvoted a paper about 8 hours ago

MIEB: Massive Image Embedding Benchmark

published a model 7 days ago

yjoonjang/preranker-v1

View all activity

Organizations

yjoonjang's activity

New activity in nlpai-lab/KURE-v1 15 days ago

CachedGISTEmbedLoss 이면 가이드 모델은 무엇을 사용 하셨나요?

#1 opened 4 months ago by

sigridjineth

sentence transformer 문제

#2 opened 3 months ago by

DYent

New activity in nlpai-lab/KURE-v1 about 1 month ago

KURE-v1 fine tuning 질문드립니다!

#4 opened about 1 month ago by

Alope

New activity in nlpai-lab/KURE-v1 3 months ago

학습 데이터셋 구성 질문

#3 opened 3 months ago by deleted

New activity in Snowflake/snowflake-arctic-embed-l-v2.0 4 months ago

max_seq_length

#3 opened 4 months ago by

yjoonjang

New activity in nlpai-lab/ko-triplet-v1.0 7 months ago

Librarian Bot: Add language metadata for dataset

#2 opened 7 months ago by

librarian-bot