LHRLAB/KBQA-o1
[ICML 2025] Official resources of "KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search".
This project helps researchers in natural language processing (NLP) to improve the accuracy of knowledge base question answering (KBQA) systems. It takes datasets like WebQSP, GrailQA, or GraphQ, along with Freebase knowledge graph files, and outputs a fine-tuned language model capable of more accurately answering complex questions by reasoning over the knowledge base. It's intended for NLP researchers and practitioners focused on enhancing semantic search and question-answering capabilities.
Use this if you are an NLP researcher aiming to develop advanced knowledge base question-answering systems with improved reasoning capabilities for complex queries.
Not ideal if you are looking for an out-of-the-box, end-user friendly application for general question answering, as this requires significant technical setup and expertise in machine learning model training.
Stars
34
Forks
5
Language
Python
License
MIT
Category
Last pushed
Dec 06, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/LHRLAB/KBQA-o1"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
spcl/knowledge-graph-of-thoughts
Official Implementation of "Affordable AI Assistants with Knowledge Graph of Thoughts"
aitomatic/semikong
First Open-Source Industry-Specific Model for Semiconductors
dylanhogg/llmgraph
Create knowledge graphs with LLMs
fusion-jena/automatic-KG-creation-with-LLM
Automatic Ontology and Knowledge Graph construction with LLM
LHRLAB/ChatKBQA
[ACL 2024] Official resources of "ChatKBQA: A Generate-then-Retrieve Framework for Knowledge...