https://github.com/baaivision/muse-pytorch
Muse: Text-To-Image Generation via Masked Generative Transformers
Papers with Code 아카이브
Knowledge Graphs
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- 평가표
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A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/bahuia/aqgnet
https://github.com/bangoc123/drop-rag
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
https://github.com/bangoc123/retrieval-backend-with-rag
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
https://github.com/batmanlab/Ladder
LADDER: Language Driven Slice Discovery and Error Rectification
https://github.com/batra-mlp-lab/visdial
https://github.com/batra-mlp-lab/visdial-challenge-starter-pytorch
https://github.com/bbartoldson/TBA
https://github.com/berlincho/RGCN-pytorch
https://github.com/bi-graph/emgraph
https://github.com/bigdata-ustc/Zero-1-to-3
https://github.com/bio-ontology-research-group/EL2Box_embedding
EL Embeddings: Geometric construction of models for the Description Logic EL ++
https://github.com/bjascob/amrlib
Investigating Pretrained Language Models for Graph-to-Text Generation
https://github.com/bjoernpl/fasteval
https://github.com/booydar/t5-experiments
In Search of Needles in a 11M Haystack: Recurrent Memory Finds What LLMs Miss
https://github.com/brandonjaipersaud/piazza-qabot-gpt
Decomposed Prompting to Answer Questions on a Course Discussion Board
https://github.com/brucewlee/lftk
Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach
https://github.com/bsantraigi/TA_TransE
Learning Sequence Encoders for Temporal Knowledge Graph Completion
https://github.com/bupt-gamma/prograph
GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration
https://github.com/caraj7/t2i-r1
MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine
https://github.com/carmilea/carmilea
The Geometry of Categorical and Hierarchical Concepts in Large Language Models
https://github.com/caskcsg/CoT-MAE
Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval
https://github.com/caskcsg/ir
Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval
https://github.com/caskcsg/longcontext
Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model
https://github.com/castorini/nuggetizer
Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track
https://github.com/castorini/rank_llm
https://github.com/cdhx/KBGAN_for_RotatE
https://github.com/cgraywang/deepex
https://github.com/chalothon/Graph-Convolutional-Networks-for-Relational-Link-Prediction
https://github.com/chaoyuhao/AnomalyR1
AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection
https://github.com/chat-3d/chat-3d-v2
Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes
https://github.com/chatterjeeayan/upna
Open Graph Benchmark: Datasets for Machine Learning on Graphs
https://github.com/chengzeyi/paraattention
https://github.com/chenxiliu-hnu/timecma
Spatial-Temporal Large Language Model for Traffic Prediction
https://github.com/cheungdaven/QuatE
https://github.com/chistera4-expectation/experiments-knowledge-harvest-from-llm
BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.