Papers with Code 아카이브

Knowledge Graphs

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 5
평가표: 4
보존된 평가 기록: 19

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/malteos/pytorch-bert-document-classification

공식 코드

Enriching BERT with Knowledge Graph Embeddings for Document Classification

https://github.com/mandt-lab/knowledge-graph-tuning

공식 코드

Augmenting and Tuning Knowledge Graph Embeddings

https://github.com/mandyyyyii/scibench

공식 코드

SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models

https://github.com/manestay/borderlines

공식 코드

This Land is {Your, My} Land: Evaluating Geopolitical Biases in Language Models

https://github.com/manestay/bordirlines

공식 코드

BordIRlines: A Dataset for Evaluating Cross-lingual Retrieval-Augmented Generation

https://github.com/mangopy/direct-rag-learning

공식 코드

Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models

https://github.com/manthan2305/Efficient-G-Retriever

공식 코드

Efficient Document Retrieval with G-Retriever

https://github.com/manuelfay/llm-data-hub

공식 코드

CroissantLLM: A Truly Bilingual French-English Language Model

https://github.com/manveertamber/content_injection_attacks

공식 코드

Illusions of Relevance: Using Content Injection Attacks to Deceive Retrievers, Rerankers, and LLM Judges

https://github.com/marc1198/chat-hsr

공식 코드

LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household Robotics

https://github.com/marcosfp97/llm-binary-health-qa

공식 코드

Evaluating Search Engines and Large Language Models for Answering Health Questions

https://github.com/mariavale/contextual_inform

공식 코드

Measuring Contextual Informativeness in Child-Directed Text

https://github.com/mariosaenger/biore-kplm-benchmark

공식 코드

Knowledge-augmented Pre-trained Language Models for Biomedical Relation Extraction

https://github.com/maris205/dnahl

공식 코드

DNAHLM -- DNA sequence and Human Language mixed large language Model

https://github.com/markellekelly/ai_mental_models

공식 코드

Capturing Humans' Mental Models of AI: An Item Response Theory Approach

https://github.com/marker-inc-korea/autorag_aragog_paper

공식 코드

AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation Pipeline

https://github.com/martiansideofthemoon/rankgen

공식 코드

RankGen: Improving Text Generation with Large Ranking Models

https://github.com/martin-wey/peft-llm-code

공식 코드

Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models

https://github.com/maryambrj/alien

공식 코드

Comparative Analysis of AI Agent Architectures for Entity Relationship Classification

https://github.com/mas-takayama/LLM-and-SCD/tree/main/codes

공식 코드

Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach

https://github.com/mas-takayama/llm-and-scd

공식 코드

Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach

https://github.com/masoud-monajati/llm_bio_ner

공식 코드

LLMs in Biomedicine: A study on clinical Named Entity Recognition

https://github.com/masterai-eam/darwin

공식 코드

DARWIN Series: Domain Specific Large Language Models for Natural Science

https://github.com/masterai-eam/scicrawler

공식 코드

DARWIN Series: Domain Specific Large Language Models for Natural Science

https://github.com/matanbt/gaslite

공식 코드

GASLITEing the Retrieval: Exploring Vulnerabilities in Dense Embedding-based Search

https://github.com/matchyc/RoarGraph

공식 코드

RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search

https://github.com/mathiasj33/boxsquaredel

공식 코드

Dual Box Embeddings for the Description Logic EL++

https://github.com/matsui528/lotf

공식 코드

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table

https://github.com/mattbierbaum/arxiv-public-datasets

공식 코드

On the Use of ArXiv as a Dataset

https://github.com/maxischuh/twinbooster

공식 코드

TwinBooster: Synergising Large Language Models with Barlow Twins and Gradient Boosting for Enhanced Molecular Property Prediction

https://github.com/maxwe11y/gaslightingllm

공식 코드

Can a large language model be a gaslighter?

https://github.com/mayank31398/VRAG

공식 코드

Variational Learning for Unsupervised Knowledge Grounded Dialogs

https://github.com/mayank31398/ladder-residual-inference

공식 코드

Ladder-residual: parallelism-aware architecture for accelerating large model inference with communication overlapping

https://github.com/mayhugotong/videoinsta

공식 코드

VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs

https://github.com/mayo-radiology-informatics-lab/conflare

공식 코드

CONFLARE: CONFormal LArge language model REtrieval

https://github.com/mayubo2333/llm-ie

공식 코드

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

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