PastelBelem8/PastelBelem8.github.io
pastelbelem8.github.io
PhD Student @ UCI and previously a research data scientist at Feedzai
pastelbelem8.github.io
A unified, modular Framework for Prompt Optimization
Personal gym tracker
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Official Code Repository for LM-Steer Paper: "Word Embeddings Are Steers for Language Models" (ACL 2024 Outstanding Paper Award)
Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
[NeurIPS 2024] Fast Best-of-N Decoding via Speculative Rejection
Codebase for reproducing the experiments of the semantic uncertainty paper (short-phrase and sentence-length experiments).
Extract full next-token probabilities via language model APIs
Clinical ML metadata specification for columns found available in MIMIC and eICU datasets after being preprocessed with the YAIB-Cohort package.
Source code for the ACL'23 paper "Should you marginalize over possible tokenizations?"
Calibration of autoregressive language models.
Refactor upon Zafar's fair classification bias mitigation method.
Python package for dataset imports from UCI ML Repository
Code for the StatNLP course homework.
A Collection of Variational Autoencoders (VAE) in PyTorch.
Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"
Course materials for the Machine Learning for NLP course taught by Sameer Singh for the Cognitive Science summer school 2022.
BARTScore: Evaluating Generated Text as Text Generation
NLP-based system whose goal is to recover corrupted files. To this end, we are given both a training and a test set, where the test set is assumed to be generated from the same distribution as the training set.
Repository concerning the creation of a system capable of detecting handwritting and recognizing its content. This system will be applied to images involving visual elements other than just handwritting.
This is the result of my master thesis on Multi-Objective Optimization. This repository is more focused towards Pareto-based optimization rather than SIngle-Objective optimization with preference articulation. We focus on time-consuming optimization routines and, as a result we focus on model-based methods to allow for faster convergence times. This is relevant for Architectural Design Optimization, which depends on time-intensive simulations (e.g. minutes, hours or even days to complete a single simulation).