Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/tpoisonooo/huixiangdou2
https://github.com/traffic-alpha/tsc-harla
https://github.com/tranhungnghiep/AnalyzingKGEmbeddings
https://github.com/typefly/TypeFly
https://github.com/ukplab/m-amr2text
Investigating Pretrained Language Models for Graph-to-Text Generation
https://github.com/uma-pi1/dist-kge
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings
https://github.com/uma-pi1/kge-iclr20
https://github.com/unicamp-dl/retailGPT
Retail-GPT: leveraging Retrieval Augmented Generation (RAG) for building E-commerce Chat Assistants
https://github.com/uscnlp-lime/verl
https://github.com/utter-project/elitr-bench
NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark
https://github.com/uva-dsa/ems-pipeline
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction
https://github.com/uw-mad-dash/pgt_index
Spatial-Temporal Large Language Model for Traffic Prediction
https://github.com/vargpt-family/vargpt-v1.1
https://github.com/vchitect/vlogger
https://github.com/viethungvu1998/khgrec
Heterogeneous Hypergraph Embedding for Recommendation Systems
https://github.com/vinhsuhi/jmac
https://github.com/vividwalker/Multi-Head-Rag
https://github.com/vlm-rl/ocean-r1
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
https://github.com/volcengine/verl
https://github.com/wan-video/wan2.1
https://github.com/wangclnlp/deepspeed-chat-extension
ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation
https://github.com/wdrink/simplear
Accelerating Large Language Model Decoding with Speculative Sampling
https://github.com/web-arena-x/webarena
Hierarchical Prompting Assists Large Language Model on Web Navigation
https://github.com/webis-de/acl-24
https://github.com/webnlg/webnlg-text-to-triples
Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text
https://github.com/weixiongust/rlhf-reward-modeling
https://github.com/wellecks/llemma_formal2formal
https://github.com/wliu88/AttentivePathRanking
https://github.com/woodcutter1998/ogb-grail-mod
https://github.com/wuliwei9278/SSE-PT
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
https://github.com/wutaiqiang/shadow-ft
LLM-Neo: Parameter Efficient Knowledge Distillation for Large Language Models
https://github.com/wxh1996/VideoAgent
VideoAgent: Long-form Video Understanding with Large Language Model as Agent
https://github.com/wyu97/permgen
Text Generation from Knowledge Graphs with Graph Transformers
https://github.com/xgenerationlab/xiyan-dbdescgen
A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL
https://github.com/xiaoyuin/tntspa
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.