Name: Iftitahu Ni'mah
Type: User
Company: Indonesian Institute of Sciences (LIPI)
Bio: Research scientist at LIPI/BRIN. PhD student at TU/e. Research: Deep Learning, Natural Language Processing, Natural Language Generation, Evaluation
Twitter: IftitahuNimah
Location: Eindhoven - The Netherlands
Blog: https://inimah.github.io/
Iftitahu Ni'mah's Projects
The most cited deep learning papers
A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)
Interactive publications lists with JavaScript + Bibtex
Online Book: Representation Learning for Natural Language Processing
Classifying text with bag-of-words
Codebase for running (conditional) probing experiments
EMNLP 2021 - CTC: A Unified Framework for Evaluating Natural Language Generation
Codes for our paper "CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation" (ACL 2022)
Data Valuation on In-Context Examples
"Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, long talk)
Materials for class, workshop, tutorials
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
Kaggle's competition for using Google's word2vec package for sentiment analysis
Diffusion-LM
Experiments about word-document vector representation
Repository for the word embeddings experiments described in "Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource", presented at LREC 2016.
EMNLP 2022: Analyzing and Evaluating Faithfulness in Dialogue Summarization
Library for fast text representation and classification.
GloVe model for distributed word representation
Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/
Documentation about installation, user manual, and admin manual
A Great Collection of Deep Learning Tutorials and Repositories
Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"
ACL Findings '23 - ICE: Multi-dimensional Evaluation of Text Summarization with In-Context Learning
Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow
Config files for my GitHub profile.
Academic personal website
My PhD journal
Course for Interpreting ML Models
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent