KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search

Codes and Data for ACL 2024 Paper "Faithful Logical Reasoning via Symbolic Chain-of-Thought".

[EMNLP 2024] Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths

Incremental Knowledge Graphs Constructor Using Large Language Models

This is work done by the Oxen.ai Community, trying to reproduce the Self-Rewarding Language Model paper from MetaAI.

"Few-shot In-context Learning for Knowledge Base Question Answering" [ACL2023]

Code-Style In-Context Learning for Knowledge-Based Question Answering

Code and data for QueryAgent(ACL 2024)

An interpretable large language model (LLM) for medical diagnosis.

Efficient and extensible GNNs enhanced recommender library based on RecBole.

Code for the paper 🌳 Tree Search for Language Model Agents

A library for advanced large language model reasoning

🪞A powerful toolkit for almost all the Information Extraction tasks.

A modular graph-based Retrieval-Augmented Generation (RAG) system

Code that implements efficient knowledge graph extraction from the textual descriptions

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning

OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constr…

Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'

Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317

Source code for EMNLP 2023 paper "Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions".

Official Repo of paper "KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction". In the paper, we propose KnowCoder, the most powerful large language model so far for…

This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

This repository has transferred to https://github.com/TUDB-Labs/MoE-PEFT

State-of-the-art Parameter-Efficient MoE Fine-tuning Method

X-LoRA: Mixture of LoRA Experts

[ACL 2024] IEPile: A Large-Scale Information Extraction Corpus

Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.