Papers with Code 아카이브
Knowledge Graphs
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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/aioz-ai/MICCAI21_MMQ
PathVQA: 30000+ Questions for Medical Visual Question Answering
https://github.com/aistairc/probing_sfqa
Pretrained Transformers for Simple Question Answering over Knowledge Graphs
https://github.com/alexrenz/adaps
NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access
https://github.com/alextakele/python-random-quote
RAGAS: Automated Evaluation of Retrieval Augmented Generation
https://github.com/ali7naseh/RAG_MIA
Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation
https://github.com/alibaba-nlp/webagent
https://github.com/alibaba/rtp-llm
Large Language Model based Long-tail Query Rewriting in Taobao Search
https://github.com/alisadeghian/DRUM
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
https://github.com/allenai/commonsense-kg-completion
Commonsense Knowledge Base Completion with Structural and Semantic Context
https://github.com/allenai/kb
https://github.com/alpha-innovator/chartvlm
StructChart: On the Schema, Metric, and Augmentation for Visual Chart Understanding
https://github.com/amazon-science/SDFeedback
https://github.com/amazon-science/self_debug
https://github.com/anandaswarup/phrase_break_prediction
https://github.com/andypinxinliu/GestureLSM
Retrieving Semantics from the Deep: an RAG Solution for Gesture Synthesis
https://github.com/anongekc/gekcs
A Probabilistic Framework for Knowledge Graph Data Augmentation
https://github.com/anonymous-dense-submission/DensE
https://github.com/anonymous20221001/sieg_ogb
Open Graph Benchmark: Datasets for Machine Learning on Graphs
https://github.com/ant-research/KnowledgeGraphEmbeddingsViaPairedRelationVectors_PairRE
Open Graph Benchmark: Datasets for Machine Learning on Graphs
https://github.com/ant-research/structuredlm_rtdt
https://github.com/apoorvumang/prompt-lookup-decoding
Accelerating Large Language Model Decoding with Speculative Sampling
https://github.com/appsec2008/acnbp
Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and Interoperability
https://github.com/artessay/ragraph
TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems
https://github.com/aryaze/testpilot
An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
https://github.com/asannasi/txt_adv_nlp
https://github.com/asarigun/DrugGEN
https://github.com/assafelovic/gpt-researcher
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
https://github.com/atcbosselut/comet-commonsense
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
https://github.com/aubrey-ao/humanbehavioranimation
Semantic Gesticulator: Semantics-Aware Co-Speech Gesture Synthesis
https://github.com/autoliuweijie/K-BERT
K-BERT: Enabling Language Representation with Knowledge Graph
https://github.com/automl-research/red-gnn
https://github.com/awslabs/dgl-ke
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
https://github.com/axiomlab/Cable
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
https://github.com/baai-dcai/segvol
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
https://github.com/baaivision/judgelm
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.