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/eleutherai/sae-auto-interp

공식 코드

Partially Rewriting a Transformer in Natural Language

https://github.com/elianastasio/minigpt-pancreas

공식 코드

MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Classification and Detection

https://github.com/eliaslumer/graph-rag-tool-fusion-toollinkos

공식 코드

Graph RAG-Tool Fusion

https://github.com/elizaos/eliza

공식 코드

Eliza: A Web3 friendly AI Agent Operating System

https://github.com/ellenmellon/GraphSum

공식 코드

Extracting Summary Knowledge Graphs from Long Documents

https://github.com/ellenzhuwang/VK_OOD

공식 코드

Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis

https://github.com/ellenzhuwang/lakermap

공식 코드

Contextualized Structural Self-supervised Learning for Ontology Matching

https://github.com/elsevier-ai-lab/bioblp

공식 코드

BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs

https://github.com/eltzanis/maistro

공식 코드

mAIstro: an open-source multi-agentic system for automated end-to-end development of radiomics and deep learning models for medical imaging

https://github.com/elviswxy/rag_fairness

공식 코드

Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems

https://github.com/em-llm/EM-LLM-model

공식 코드

Human-like Episodic Memory for Infinite Context LLMs

https://github.com/embedded-robotics/path-rag

공식 코드

Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering

https://github.com/emocareai/chatpsychiatrist

공식 코드

ChatCounselor: A Large Language Models for Mental Health Support

https://github.com/emorynlp/gpt-abceval

공식 코드

Leveraging Large Language Models for Automated Dialogue Analysis

https://github.com/emu1729/gist

공식 코드

GIST: Generating Image-Specific Text for Fine-grained Object Classification

https://github.com/endlinc/llava-spacesgg

공식 코드

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations

https://github.com/endrikacupaj/CARTON

공식 코드

Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs

https://github.com/endrikacupaj/LASAGNE

공식 코드

Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks

https://github.com/endrikacupaj/VOGUE

공식 코드

VOGUE: Answer Verbalization through Multi-Task Learning

https://github.com/endrikacupaj/praline

공식 코드

Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs

https://github.com/engineeringsoftware/coditt5

공식 코드

CoditT5: Pretraining for Source Code and Natural Language Editing

https://github.com/engineeringsoftware/exlong

공식 코드

A Tool for Generating Exceptional Behavior Tests With Large Language Models

https://github.com/engineerkong/emorl

공식 코드

EMORL: Ensemble Multi-Objective Reinforcement Learning for Efficient and Flexible LLM Fine-Tuning

https://github.com/eoinkenny/regulatable_llms

공식 코드

Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off

https://github.com/epfl-ml4ed/ClickSightLBR25

공식 코드

ClickSight: Interpreting Student Clickstreams to Reveal Insights on Learning Strategies via LLMs

https://github.com/epfl-ml4ed/courserec

공식 코드

Finding Paths for Explainable MOOC Recommendation: A Learner Perspective

https://github.com/epfllm/megatron-llm

공식 코드

Executable Code Actions Elicit Better LLM Agents

https://github.com/erfanloghmani/myket-android-application-market-dataset

공식 코드

TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs

https://github.com/ericlbuehler/xlora

공식 코드

X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Molecular Design

https://github.com/ericlee878/ScienceDeJargonizer

공식 코드

De-jargonizing Science for Journalists with GPT-4: A Pilot Study

https://github.com/ernlavr/multihal

공식 코드

MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations

https://github.com/eteced/arithmetic_finetuning_v1

공식 코드

ArthModel: Enhance Arithmetic Skills to Large Language Model

https://github.com/eth-lre/verify-then-generate

공식 코드

Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors

https://github.com/eth-nlped/mathdial

공식 코드

MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems

https://github.com/ethanbradley/synfintabgen

공식 코드

SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table Extraction

https://github.com/ethannlin/schnovel

공식 코드

Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly Publications

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