pretrained-language-models
There are 15 repositories under pretrained-language-models topic.
ict-bigdatalab/awesome-pretrained-models-for-information-retrieval
A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).
OpenBMB/BMInf
Efficient Inference for Big Models
thunlp/Prompt-Transferability
On Transferability of Prompt Tuning for Natural Language Processing
ZhaohanM/FusionDTI
[EMNLP 2025]* FusionDTI utilises a Token-level Fusion module to effectively learn fine-grained information for Drug-Target Interaction Prediction.
JamesLYC88/text_classification_baseline_code
The code for the ACL 2023 paper "Linear Classifier: An Often-Forgotten Baseline for Text Classification".
boun-tabi/biochemical-lms-for-drug-design
Code for the paper "Exploiting Pretrained Biochemical Language Models for Targeted Drug Design", to appear in Bioinformatics, Proceedings of ECCB2022.
4AI/langml
A Keras-based and TensorFlow-backend NLP Models Toolkit.
zerohd4869/SPC
The official repository for AAAI 2024 Oral paper "Structured Probabilistic Coding".
aannonymouuss/PLMs-in-Practical-KBQA
The code of An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answering
fatemafaria142/Large-Language-Models-Over-Transformer-Models-for-Bangla-NLI
This research examines the performance of Large Language Models (GPT-3.5 Turbo and Gemini 1.5 Pro) in Bengali Natural Language Inference, comparing them with state-of-the-art models using the XNLI dataset. It explores zero-shot and few-shot scenarios to evaluate their efficacy in low-resource settings.
Unusuala1l2e3x4/Extracting-ADEs-from-Medical-Forum-Posts
Identified ADEs and associated terms in an annotated corpus with Named Entity Recognition (NER) modeling with Flair and PyTorch. Fine-tuned pre-trained transformer models such as XLM-RoBERTa, SpanBERT, and Bio_ClinicalBERT. Achieved F1 scores of 0.73 and 0.77 for BIOES and BIO tagging models, respectively.
NicholasCao/PromptEval
A python tool for evaluating the quality of few-shot prompt learning.
Revanth-Reddy-Pingala/Abusive_Comment_Detector_BERT
Fine tuned BERT, mBERT and XLMRoBERTa for Abusive Comments Detection in Telugu, Code-Mixed Telugu and Telugu-English.
a-t-em/Spam-Text-Classification
LSTM models for text classification on character embeddings.
fatemafaria142/Bengali-Political-Sentiment-Analysis
This study focuses on political sentiment analysis during Bangladeshi elections, using the "Motamot" dataset to evaluate how Pre-trained Language Models (PLMs) and Large Language Models (LLMs) capture complex sentiment characteristics. The research explores the effectiveness of various models and learning strategies in understanding public opinion.