ACL 2020: A Re-evaluation of Knowledge Graph Completion Methods

The Code of TCohPrompt

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

Evaluation tools for Retrieval-augmented Generation (RAG) methods.

Croissant is a high-level format for machine learning datasets that brings together four rich layers.

[Paper][ACL 2024 Findings] Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering

Repository of the metadata specification mobilityDCAT-AP

Library for Knowledge Intensive Language Tasks

Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.

The course introduces the use of open-source large language models (LLMs) from the Hugging Face ecosystem for research in the behavioral and social sciences.

Extensive acceptance rates and information of main AI conferences

Covid-on-the-Web Dataset

Code and data for acl2019 paper "Incremental Learning from Scratch for Task-Oriented Dialogue Systems"

A very simple news crawler with a funny name

Code for the paper: "Entity Linking and Filling for Question Answering over Knowledge Graphs"

The official implementation of Self-Play Fine-Tuning (SPIN)

[EMNLP 2022] Continual Training of Language Models for Few-Shot Learning

This repository contains the SpeechBrain Benchmarks

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Code, data and mode for the paper SPARQL Generation: an analysis on fine-tuning OpenLLaMA for Question Answering over Life Science Knowledge Graphs

Adding new tasks to T0 without catastrophic forgetting

Relational Neurogenesis is a framework that supports neuroevolutionary mechanisms in deep reinforcement learning networks to enhance lifelong learning capabilities

End-to-End Model - Finetuned T5 for Text-to-SPARQL Task