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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/MindSpore-scientific-2/code-8/tree/main/QuantExplainNLP_AlgoAnalysis

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

https://github.com/MindSpore-scientific-2/code-8/tree/main/UE-Unified-Embedding-Battle-Tested-Feature

Embedding Logical Queries on Knowledge Graphs

https://github.com/MindSpore-scientific-2/code-8/tree/main/text-to-music

LP-MusicCaps: LLM-Based Pseudo Music Captioning

https://github.com/MindSpore-scientific/code-10/tree/main/Last-Query-Transformer-RNN

RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs

https://github.com/MindSpore-scientific/code-13/tree/main/QuantExplainNLP_AlgoAnalysis

NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark

https://github.com/MindSpore-scientific/code-13/tree/main/UE-Unified-Embedding-Battle-Tested-Feature

Embedding Logical Queries on Knowledge Graphs

https://github.com/MindSpore-scientific/code-8/tree/main/Last-Query-Transformer-RNN

RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs

https://github.com/MindSpore-scientific/code-8/tree/main/shallow-rnns

RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs

https://github.com/Monireh2/kg-deductive-reasoner

Reasoning over RDF Knowledge Bases using Deep Learning

https://github.com/NUS-HPC-AI-Lab/VideoSys

DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

https://github.com/NVIDIA/NeMo-Skills

OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data

https://github.com/NamyongPark/EvoKG

EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs

https://github.com/OpenMOSS/AnyGPT

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling

https://github.com/PAIR-code/llm-comparator

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

https://github.com/PKD667/political-alignement

PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models

https://github.com/PKU-YuanGroup/MoE-LLaVA

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

https://github.com/PaddlePaddle/PaddleRec/tree/master/models/match/kim

Personalized News Recommendation with Knowledge-aware Interactive Matching

https://github.com/Peter7Yao/RNM

Relation-Aware Neighborhood Matching Model for Entity Alignment

https://github.com/Phoenix1327/ML-ZSL

Multi-Label Zero-Shot Learning with Structured Knowledge Graphs

https://github.com/PierreSenellart/theoremkb

Extracting Definienda in Mathematical Scholarly Articles with Transformers

https://github.com/Pointcept/GPT4Point

Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following

https://github.com/QLaHPD/Dimension-Insensitive-Euclidean-Metric-

Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric

https://github.com/Qiyuan-Ge/PaintMind

Muse: Text-To-Image Generation via Masked Generative Transformers

https://github.com/QustKcz/relational-GCN

Modeling Relational Data with Graph Convolutional Networks

https://github.com/QwenLM/Qwen2.5-Omni

Qwen2.5-Omni Technical Report

https://github.com/ROCm/flash-attention

Efficient Memory Management for Large Language Model Serving with PagedAttention

https://github.com/RUCAIBox/KGSF

Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion

https://github.com/RUCAIBox/R1-Searcher

ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding

https://github.com/Resurgamm/AGP

Adaptive Graph Pruning for Multi-Agent Communication

https://github.com/RikiyaT/LARA

Large language models can accurately predict searcher preferences

https://github.com/SSE-PT/SSE-PT

Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers

https://github.com/STIInnsbruck/kgs

Duplication Detection in Knowledge Graphs: Literature and Tools

https://github.com/SandraSchaftner/orkg_property_extraction_using_gpt-3.5

Evaluating improvements on using Large Language Models (LLMs) for property extraction in the Open Research Knowledge Graph (ORKG)

https://github.com/SejeongPark8354/MforDrugDev

A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective

https://github.com/ShubhamKumarNigam/NyayaAnumana-and-INLegalLlama

NyayaAnumana & INLegalLlama: The Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model for Enhanced Decision Analysis

https://github.com/SparkZu/RadioLLM

RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings

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