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Rabiraj Bandyopadhyay photo

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followers: 3.0 following: 8.0 repos: 52.0 gists: 0.0

Name: Rabiraj Bandyopadhyay

Type: User

Company: Coursera

Bio: PhD student at GESIS working on NLP. Prev: Sr. Data Scientist at Coursera, MS Student + Visiting Researcher at University at Buffalo Dept. of Computer Science

Twitter: RabirajB

Location: Seattle, Washington, USA

  • šŸ‘‹ Hi, Iā€™m Rabiraj
  • šŸ‘€ Iā€™m interested in Deep Learning and Natural Language Processing
  • šŸŒ± Iā€™m currently learning and doing research on Hate Speech
  • šŸ’žļø Iā€™m looking to collaborate on interesting projects on synthetic text generation, instruction tuning and data efficient methods for Hate Speech Detection
  • šŸ“« How to reach me? LinkedIn and Twitter

Rabiraj Bandyopadhyay's Projects

apricot icon apricot

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

congenbench icon congenbench

A one stop shop for anyone interested in researching controllable generation and constrained decoding

datainf icon datainf

DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)

dataset_difficulty icon dataset_difficulty

"Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)

fewgen icon fewgen

[ICML 2023] Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning

hare-hate-speech icon hare-hate-speech

Official repository of "HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning", Findings of EMNLP 2023

ilm-1 icon ilm-1

Easily fine tune GPT-2 to fill in missing text

label-words-are-anchors icon label-words-are-anchors

Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

less icon less

Preprint: Less: Selecting Influential Data for Targeted Instruction Tuning

litgpt icon litgpt

Pretrain, finetune, deploy 20+ LLMs on your own data. Uses state-of-the-art techniques: flash attention, FSDP, 4-bit, LoRA, and more.

luar icon luar

Transformer-based model for learning authorship representations.

misinfocorrect icon misinfocorrect

Code and Data for WWW'23 paper Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation

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