Papers with Code 아카이브

Large Language Model

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/zjukg/kgtransformer

공식 코드

Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer

https://github.com/zjukg/knowpat

공식 코드

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering

https://github.com/zjukg/kopa

공식 코드

Making Large Language Models Perform Better in Knowledge Graph Completion

https://github.com/zjukg/lpkg

공식 코드

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs

https://github.com/zjukg/maco

공식 코드

MACO: A Modality Adversarial and Contrastive Framework for Modality-missing Multi-modal Knowledge Graph Completion

https://github.com/zjukg/maker

공식 코드

Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting

https://github.com/zjukg/momok

공식 코드

Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning

https://github.com/zjukg/morse

공식 코드

Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding

https://github.com/zjukg/mygo

공식 코드

Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation

https://github.com/zjukg/neuralkg

공식 코드

NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs

https://github.com/zjukg/rmpi

공식 코드

Relational Message Passing for Fully Inductive Knowledge Graph Completion

https://github.com/zjukg/snag

공식 코드

Noise-powered Multi-modal Knowledge Graph Representation Framework

https://github.com/zjukg/trustuqa

공식 코드

TrustUQA: A Trustful Framework for Unified Structured Data Question Answering

https://github.com/zjumai/evopatient

공식 코드

LLMs Can Simulate Standardized Patients via Agent Coevolution

https://github.com/zjunlp/DeepKE/tree/main/example/llm

공식 코드

How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?

https://github.com/zjunlp/Generative_KG_Construction_Papers

공식 코드

Generative Knowledge Graph Construction: A Review

https://github.com/zjunlp/MKG_Analogy

공식 코드

Multimodal Analogical Reasoning over Knowledge Graphs

https://github.com/zjunlp/MKGformer

공식 코드

Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion

https://github.com/zjunlp/PromptKG/tree/main/deltaKG

공식 코드

Editing Language Model-based Knowledge Graph Embeddings

https://github.com/zjunlp/PromptKG/tree/main/research/GenKGC

공식 코드

From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer

https://github.com/zjunlp/autokg

공식 코드

LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

https://github.com/zjunlp/deepke

공식 코드

How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?

https://github.com/zjunlp/easyedit

공식 코드

EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models

https://github.com/zjunlp/knn-kg

공식 코드

Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings

https://github.com/zjunlp/knowlm

공식 코드

OceanGPT: A Large Language Model for Ocean Science Tasks

https://github.com/zjunlp/oneedit

공식 코드

OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System

https://github.com/zjunlp/onegen

공식 코드

OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs

https://github.com/zjunlp/ontoprotein

공식 코드

OntoProtein: Protein Pretraining With Gene Ontology Embedding

https://github.com/zjunlp/promptkg

공식 코드

LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings

https://github.com/zjunlp/relphormer

공식 코드

Relphormer: Relational Graph Transformer for Knowledge Graph Representations

https://github.com/zjunlp/trice

공식 코드

Making Language Models Better Tool Learners with Execution Feedback

https://github.com/zl-liu/radiation-oncology-nlp-database

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The Radiation Oncology NLP Database

https://github.com/zodiark-ch/masters-of-our-emnlp2023-papers

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Learning a Structural Causal Model for Intuition Reasoning in Conversation

https://github.com/zoeyyes/confact

공식 코드

Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs

https://github.com/zomss/garag

공식 코드

Typos that Broke the RAG's Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations

https://github.com/zorazrw/agent-workflow-memory

공식 코드

Agent Workflow Memory

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.