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/DIRECT-BIT/SRA-MCTS

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

https://github.com/DYEvaLab/EvalMuse

Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model

https://github.com/DeepGraphLearning/AStarNet/

A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs

https://github.com/DeepGraphLearning/RecommenderSystems

Ekar: An Explainable Method for Knowledge Aware Recommendation

https://github.com/DeepGraphLearning/pLogicNet

Probabilistic Logic Neural Networks for Reasoning

https://github.com/DevSinghSachan/unsupervised-passage-reranking

End-to-End Training of Neural Retrievers for Open-Domain Question Answering

https://github.com/EkaterinaXie/LiteVAR

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

https://github.com/ElectricAlexis/NotaGen

NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms

https://github.com/ElementAI/HypE

Knowledge Hypergraphs: Prediction Beyond Binary Relations

https://github.com/EthanCoder24/Protofomer-NLP

Protoformer: Embedding Prototypes for Transformers

https://github.com/Fangyin1994/KCL

Zero-shot Visual Question Answering using Knowledge Graph

https://github.com/Flajt/Veritas

Neural Machine Translating from Natural Language to SPARQL

https://github.com/FoundationVision/Infinity

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

https://github.com/FreedomIntelligence/BlenderLLM

HuatuoGPT, towards Taming Language Model to Be a Doctor

https://github.com/FreedomIntelligence/PlatoLM

PlatoLM: Teaching LLMs in Multi-Round Dialogue via a User Simulator

https://github.com/FunAudioLLM/ThinkSound

ThinkSound: Chain-of-Thought Reasoning in Multimodal Large Language Models for Audio Generation and Editing

https://github.com/GLUS-video/GLUS

GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation

https://github.com/Garrafao/WUGs

DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages

https://github.com/GitF82/NLP-Embeddings-Protoformer-Paper

Protoformer: Embedding Prototypes for Transformers

https://github.com/Grecil/Corrective-RAG

Corrective Retrieval Augmented Generation

https://github.com/Hasegawa-lab-JAIST/LI_JINGHONG_Hierarchical-Tree-structured-Knowledge-Graph-For-Academic-Insight-Survey

Hierarchical Tree-structured Knowledge Graph For Academic Insight Survey

https://github.com/HectorHHZ/Sparse_Matrix_Tuning

Sparse Matrix in Large Language Model Fine-tuning

https://github.com/HettyPatel/TRAWL

TRAWL: Tensor Reduced and Approximated Weights for Large Language Models

https://github.com/Hunter-DDM/InvTransE-and-InvRotatE

Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions

https://github.com/Hyeongkeun/LAVCap

LAVCap: LLM-based Audio-Visual Captioning using Optimal Transport

https://github.com/ICT-GoKnow/KnowCoder

KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction

https://github.com/Jacfger/simple-stuffs

Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings

https://github.com/JesusCarr/JARVIS

How is ChatGPT's behavior changing over time?

https://github.com/JiabenLi/rgcn_paddlepaddle

Modeling Relational Data with Graph Convolutional Networks

https://github.com/JingfenQiao/ColPali-Reproducibility

ColPali: Efficient Document Retrieval with Vision Language Models

https://github.com/Jl-wei/ai-gen-ui

On AI-Inspired UI-Design

https://github.com/JohnKurian/R2D2

Reasoning on Knowledge Graphs with Debate Dynamics

https://github.com/JudyYe/zero-shot-gcn

Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs

https://github.com/KXY-PUBLIC/NASE

Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

https://github.com/KastanDay/video-pretrained-transformer

PaLM-E: An Embodied Multimodal Language Model

https://github.com/KaveeshaSIlva/Baseline-FYP

PathVQA: 30000+ Questions for Medical Visual Question Answering

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