Code and Data for "Derivational Morphology Reveals Analogical Generalization in Large Language Models"

Generalized Context Model

Generating diverse counterfactual data for Natural Language Understanding tasks using Large Language Models (LLMs). The generator supports GPT-3, ChatGPT, and GPT-4.

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

Awesome-LLM: a curated list of Large Language Model

Official Code Repository for Knowledge-Augmented Language Model Verification (EMNLP 2023)

A set of LLM Tutorials from my youtube channel

EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975

Code for Debiasing Vision-Language Models via Biased Prompts

This repo lists relevant papers summarized in our survey paper: A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

Papers on fairness in NLP

Data Interventions for Reducing Gender Bias in Large Language Models

A curated list of Large Language Model with RAG

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

UP-TO-DATE LLM Watermark paper. 🔥🔥🔥

Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"

Official datasets and pytorch implementation repository of SQuARe and KoSBi (ACL 2023)

Factual consistency checking model for abstractive summaries (NAACL-22 Findings)

👩‍💻👨‍💻 AI 엔지니어 기술 면접 스터디 (⭐️ 2k+)