debjitpaul
I am a Postdoc at EPFL. I have a great inclination towards Machine Learning, Deep Learning, and NLP.
EPFLLausanne
Pinned Repositories
ARK_Model
Causal_CoT
About The corresponding code from our paper " Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning" . Do not hesitate to open an issue if you run into any trouble!
Machine-Learning-Tools-for-Text-Classification
This tool is made to classify the text documents into different categories.
Machine-Learning-Tools-on-Iris-Dataset
Implementation of Machine Learning algorithms on Iris Dataset
Multi-Hop-Knowledge-Paths-Human-Needs
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs (NAACL 2019)
Pre-processing-and-NLP-Tagger
Pre-processing raw text file and tagging the text with several NLP-Tagger and output as CONLL format
refiner
About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate to open an issue if you run into any trouble!
trust
COINS
The corresponding code from our paper " COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion (ACL 2021)". Do not hesitate to open an issue if you run into any trouble!
MHKA
The corresponding code from our paper "Social Commonsense Reasoning with Multi-Head Knowledge Attention (EMNLP 2020)". Do not hesitate to open an issue if you run into any trouble!
debjitpaul's Repositories
debjitpaul/refiner
About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate to open an issue if you run into any trouble!
debjitpaul/Multi-Hop-Knowledge-Paths-Human-Needs
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs (NAACL 2019)
debjitpaul/Causal_CoT
About The corresponding code from our paper " Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning" . Do not hesitate to open an issue if you run into any trouble!
debjitpaul/ARK_Model
debjitpaul/Awesome-Incremental-Learning
Awesome Incremental Learning
debjitpaul/BIG-Bench-Hard
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
debjitpaul/COINS
The corresponding code from our paper " COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion (ACL 2021)". Do not hesitate to open an issue if you run into any trouble!
debjitpaul/crow
Benchmarking Commonsense Reasoning in Real-World Tasks
debjitpaul/debjitpaul
Config files for my GitHub profile.
debjitpaul/debjitpaul.github
Bio
debjitpaul/debjitpaul.github.io
Personal Academic Webpage
debjitpaul/dream
debjitpaul/epfl-nlp.github.io
EPFL's NLP lab website
debjitpaul/ESTER
public repo for ESTER dataset and modeling (EMNLP'21)
debjitpaul/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
debjitpaul/glucose
GLUCOSE: GeneraLized and COntextualized Story Explanations https://arxiv.org/abs/2009.07758
debjitpaul/imodelsX
Interpretable prompting and models for NLP (using large language models).
debjitpaul/LLM-Reasoning-Papers
Collection of papers and resources on Reasoning in Large Language Models (LLMs), including Chain-of-Thought (CoT), Instruction-Tuning, and others.
debjitpaul/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
debjitpaul/MHKA
The corresponding code from our paper "Social Commonsense Reasoning with Multi-Head Knowledge Attention (EMNLP 2020)". Do not hesitate to open an issue if you run into any trouble!
debjitpaul/multigen
Language Generation with Multi-hop Reasoning on Commonsense Knowledge Graph
debjitpaul/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
debjitpaul/Prompt4ReasoningPapers
Repository for the paper "Reasoning with Language Model Prompting: A Survey".
debjitpaul/reasoningmatter
debjitpaul/RL4LMs
A modular RL library to fine-tune language models to human preferences
debjitpaul/self-refine
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
debjitpaul/SVAMP
NAACL 2021: Are NLP Models really able to Solve Simple Math Word Problems?
debjitpaul/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
debjitpaul/understanding-decoding
The data and the PyTorch implementation for the models and experiments in the paper "Language Model Decoding as Likelihood–Utility Alignment".
debjitpaul/xcopa
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning