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!

Multi-Hop-Knowledge-Paths-Human-Needs

Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs (NAACL 2019)

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!

ARK_Model

Awesome-Incremental-Learning

Awesome Incremental Learning

BIG-Bench-Hard

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

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!

crow

Benchmarking Commonsense Reasoning in Real-World Tasks

debjitpaul

Config files for my GitHub profile.

debjitpaul.github

Bio

debjitpaul.github.io

Personal Academic Webpage

dream

epfl-nlp.github.io

EPFL's NLP lab website

ESTER

public repo for ESTER dataset and modeling (EMNLP'21)

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

glucose

GLUCOSE: GeneraLized and COntextualized Story Explanations https://arxiv.org/abs/2009.07758

imodelsX

Interpretable prompting and models for NLP (using large language models).

LLM-Reasoning-Papers

Collection of papers and resources on Reasoning in Large Language Models (LLMs), including Chain-of-Thought (CoT), Instruction-Tuning, and others.

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!

multigen

Language Generation with Multi-hop Reasoning on Commonsense Knowledge Graph

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Prompt4ReasoningPapers

Repository for the paper "Reasoning with Language Model Prompting: A Survey".

reasoningmatter

RL4LMs

A modular RL library to fine-tune language models to human preferences

self-refine

LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.

SVAMP

NAACL 2021: Are NLP Models really able to Solve Simple Math Word Problems?

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

understanding-decoding

The data and the PyTorch implementation for the models and experiments in the paper "Language Model Decoding as Likelihood–Utility Alignment".

UNION

UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation

xcopa

XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning