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[ACL 2025 Best Theme Paper] This is the official implementation for the paper: "Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models"

Data and Model implementation for paper: FinDKG: Dynamic Knowledge Graph with Large Language Models for Global Finance

[ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)

Contextual augmentation, a text data augmentation using a bidirectional language model.

Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and Hutter (2023).

Language defining a data description protocol

Code and Data for ACL 2020 paper "Few-Shot NLG with Pre-Trained Language Model"

GUNDAM is a data management system that prioritizes data using language models.

Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into natural language text

Code and data for Natural Language Processing Demystified