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Large Language Model

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

https://github.com/Spracks/PackageHallucination

We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs

https://github.com/Stanford-AIMI/CheXagent

A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation

https://github.com/SteveTANTAN/PoG

Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning

https://github.com/Sujit-O/pykg2vec

A survey of embedding models of entities and relationships for knowledge graph completion

https://github.com/TUDB-Labs/mLoRA

mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs

https://github.com/TXH-mercury/VALOR

VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset

https://github.com/TaiseiAso/BiGruAttEncDec

Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs

https://github.com/TheAiSingularity/graphrag-local-ollama

From Local to Global: A Graph RAG Approach to Query-Focused Summarization

https://github.com/ThomPijnenburg/Collab-Link-Prediction

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/Thomasyyj/EEEQA

EEE-QA: Exploring Effective and Efficient Question-Answer Representations

https://github.com/Tigter/ogblwikikg2-RotPro

Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding

https://github.com/TuftsVALT/snowcat

CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs

https://github.com/U-Alberta/kg-type-err-corr

Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out

https://github.com/Unbabel/COMET

Is Context Helpful for Chat Translation Evaluation?

https://github.com/Userepic/KGAT-pytorch-master

KGAT: Knowledge Graph Attention Network for Recommendation

https://github.com/VikhrModels/effective_llm_alignment

Vikhr: Constructing a State-of-the-art Bilingual Open-Source Instruction-Following Large Language Model for Russian

https://github.com/Wangyuhao06/IKEA

Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems through Benign Queries

https://github.com/WeiDongjunGabriel/MPSUM

ESA: Entity Summarization with Attention

https://github.com/WeidongLi-KG/KBGAN_PyTorch-v0.4.1

KBGAN: Adversarial Learning for Knowledge Graph Embeddings

https://github.com/WenqiJiang/SC-ANN-FPGA

Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models

https://github.com/XAI-liacs/BLADE

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model

https://github.com/XGenerationLab/M-Schema

A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

https://github.com/XGenerationLab/XiYan-DateResolver

A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

https://github.com/Y-Sui/GPT4Table

TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning

https://github.com/YuTesla/KGNN-LS-learn

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems

https://github.com/YuanJianhao508/RAG-Driver

RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model

https://github.com/Zefty/rag-end2end-retriever

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

https://github.com/ZhangYiqun018/StickerConv

Generative Agents: Interactive Simulacra of Human Behavior

https://github.com/Ziyang412/VideoTree

VideoAgent: Long-form Video Understanding with Large Language Model as Agent

https://github.com/a16z-infra/ai-town

Generative Agents: Interactive Simulacra of Human Behavior

https://github.com/a19hu/Social_media_export_chat

Text-Based Automatic Personality Prediction Using KGrAt-Net; A Knowledge Graph Attention Network Classifier

https://github.com/abhinavnagpal/KNOWLEDGE-GRAPH-PAPERS

A Review of Relational Machine Learning for Knowledge Graphs

https://github.com/adaruna3/explainable-kge

TuckER: Tensor Factorization for Knowledge Graph Completion

https://github.com/adlik/vllm

Efficient Memory Management for Large Language Model Serving with PagedAttention

https://github.com/adymaharana/DeepPath_PyTorch

DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning

https://github.com/agentcoord/agentcoord

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

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