mukhal/deep-learning-papers-notes

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mukhal/deep-learning-papers-notes

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Thoughts and summaries of a collection deep-learning research papers.

xlm-roberta-ner

Named Entity Recognition with Pretrained XLM-RoBERTa

grace

[EMNLP 2023, Findings] GRACE: Discriminator-Guided Chain-of-Thought Reasoning

fairseq-tagging

a Fairseq fork for sequence tagging/labeling tasks

PromptRank

[ACL 2023] Few-shot Reranking for Multi-hop QA via Language Model Prompting

low-resource-seq-labeling

[EACL 2021] Self-training Pretrained LMs for Zero- and Few-shot Arabic Sequence Labeling

icl-ensembling

[Me-FoMo ICLR 2023] Exploring Demonstration Ensembling for In-context Learning

CoH-pytorch

pytorch implementation of the paper "Chain of Hindsight Aligns Language Models with Feedback"

Luhn-s-summarizer

An automatic text summarizer script based on Luhn's summarization algorithm

transformer-diacritization

Arabic diacritization with Transformers

intrinsic-source-citation

[Arxiv '24] Source-Aware Training Enables Knowledge Attribution in Language Models

fine-tunable

Keras Transfer Learning for NLP

utorrent-speed-limiter

Simple tool for windows to set and remove utorrent download speed limit based on whether user is idle or not.

arabic-UlmFit

nlp-useful-bash-commands

collection of useful bash commands for data manipulation in MLP