jasmine95dn / kaping_prompt_zero-shotLinks
This contains script that reimplements KAPING framework (Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering, Baek et al. 2023)
☆26Updated last year
Alternatives and similar repositories for kaping_prompt_zero-shot
Users that are interested in kaping_prompt_zero-shot are comparing it to the libraries listed below
Sorting:
- [EMNLP 2023] KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion☆48Updated last year
- ☆61Updated 4 months ago
- The pytorch implementation of Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering☆109Updated 2 years ago
- The folk code of UniKGQA-ICLR-2023☆49Updated 2 years ago
- The code of An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answering☆34Updated last year
- Official repository of KG-GPT☆71Updated last year
- Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering. EMNLP 2024 Main☆57Updated 7 months ago
- ☆18Updated 2 months ago
- Exploring large language models for knowledge graph completion. ICASSP 2025☆131Updated last year
- This repository is a collection of existing KGQA datasets in the form of the 🤗 huggingface datasets -> https://github.com/huggingface/d…☆83Updated last year
- [Paper][ACM MM 2024] Making Large Language Models Perform Better in Knowledge Graph Completion☆182Updated 9 months ago
- The last data dump of Freebase with introductory explanation of its schema☆87Updated last year
- Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach☆50Updated 2 years ago
- ACL 2022: Sequence-to-Sequence Knowledge Graph Completion and Question Answering (KGT5)☆104Updated last year
- ACL 2022, SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models☆198Updated 2 years ago
- ☆41Updated last year
- Code for the paper 'Language Models as Knowledge Embeddings'☆57Updated 11 months ago
- MULTITQ is a large-scale dataset featuring ample relevant facts and multiple temporal granularities.☆17Updated last year
- [LREC-COLING 2024] Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models☆48Updated 3 weeks ago
- ☆30Updated 4 months ago
- Code repo for COLING 2022 paper "Joint Language Semantic and Structure Embedding for Knowledge Graph Completion"☆54Updated 2 years ago
- Code-Style In-Context Learning for Knowledge-Based Question Answering☆15Updated last year
- [EMNLP Findings 2022] ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs☆33Updated 2 years ago
- ☆37Updated last year
- [NLPCC 2023] Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings with Language Models☆52Updated last year
- ☆112Updated 9 months ago
- ☆18Updated last year
- EMNLP 22' (Oral): SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning☆36Updated last year
- [Neurocomputing 2023] Relational Graph Transformer for Knowledge Graph Representation☆134Updated 10 months ago
- A KBQA solution framework based on the agent-environment paradigm in the era of LLMs.☆25Updated last month