aymen-000/predict-reconstruct-language-models
"Predict and Reconstruct: Joint Objectives for Self-Supervised Language Representation Learning" — hybrid JEPA + MLM pre-training for text encoders with GLUE evaluation : https://doi.org/10.13140/RG.2.2.17818.30404
Stars
2
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 17, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/aymen-000/predict-reconstruct-language-models"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
uds-lsv/bert-stable-fine-tuning
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
VanekPetr/flan-t5-text-classifier
Fine-tuning of Flan-5T LLM for text classification 🤖 focuses on adapting a state-of-the-art...
MeryylleA/lunariscodex
A high-performance PyTorch toolkit for pre-training modern, Llama-style language models. Based...
kingTLE/literary-alpaca2
从词表到微调这就是你所需的一切
RunxinXu/ChildTuning
Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and...