Papers with Code 아카이브

Inductive knowledge graph completion

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 1
평가표: 3
보존된 평가 기록: 6

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/MikeGu721/DetectBench

공식 코드

DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?

https://github.com/MikulasZelinka/textworld_kg_dataset

공식 코드

Building Dynamic Knowledge Graphs from Text-based Games

https://github.com/MiliLab/GeoLLaVA-8K

공식 코드

GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution

https://github.com/Miracle1207/Mean-Field-LLM

공식 코드

MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework

https://github.com/MiuLab/RAG-Self-Preference

공식 코드

LLMs are Biased Evaluators But Not Biased for Retrieval Augmented Generation

https://github.com/MooreThreads/TurboRAG

공식 코드

TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text

https://github.com/MrRezaeiUofT/AT-RAG

공식 코드

AT-RAG: An Adaptive RAG Model Enhancing Query Efficiency with Topic Filtering and Iterative Reasoning

https://github.com/MrZihan/NavRAG

공식 코드

NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM

https://github.com/MultimodalGeo/GeoText-1652

공식 코드

Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching

https://github.com/MurrayTom/SG-Bench

공식 코드

SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types

https://github.com/N00bsie/QueryReformulation

공식 코드

Feature-based reformulation of entities in triple pattern queries

https://github.com/NAACL2018Anonymous/submission

공식 코드

Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types

https://github.com/NExT-GPT/NExT-GPT

공식 코드

NExT-GPT: Any-to-Any Multimodal LLM

https://github.com/NIVA-Knowledge-Graph/TERA

공식 코드

Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings

https://github.com/NJU-LHRS/LHRS-Bot

공식 코드

LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language Interpretation

https://github.com/NLPJCL/RAG-Retrieval

공식 코드

Jasper and Stella: distillation of SOTA embedding models

https://github.com/NVIDIA/Megatron-LM

공식 코드

End-to-End Training of Neural Retrievers for Open-Domain Question Answering

https://github.com/NVlabs/FoundationStereo

공식 코드

FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects

https://github.com/NY1024/BAP-Jailbreak-Vision-Language-Models-via-Bi-Modal-Adversarial-Prompt

공식 코드

Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt

https://github.com/NacyNiko/HGE

공식 코드

HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces

https://github.com/NanxuGong/ELLM-FT

공식 코드

Evolutionary Large Language Model for Automated Feature Transformation

https://github.com/Nickolas-option/QA_on_Tabular_Data_SemEval2025_Task8

공식 코드

Bridging the Gap Between Open-Source and Proprietary LLMs in Table QA

https://github.com/NicolasTe/osm2kg

공식 코드

Creating Knowledge Graphs for Geographic Data on the Web

https://github.com/NikeHop/CSRL

공식 코드

Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods

https://github.com/Nouf-Alabbasi/oKUmura_AI_Telecom_challenge

공식 코드

Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP Standards

https://github.com/OPPOMKLab/u-LLaVA

공식 코드

u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model

https://github.com/OPTML-Group/Unlearn-Simple

공식 코드

Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning

https://github.com/OSU-NLP-Group/KG-R3

공식 코드

A Retrieve-and-Read Framework for Knowledge Graph Link Prediction

https://github.com/OUTHIM/power-link

공식 코드

Path-based Explanation for Knowledge Graph Completion

https://github.com/OceannTwT/Tool-Planner

공식 코드

Tool-Planner: Task Planning with Clusters across Multiple Tools

https://github.com/OmarErak/LLM-CL

공식 코드

Large Language Model-Driven Curriculum Design for Mobile Networks

https://github.com/OpenBMB/AgentCPM-GUI

공식 코드

AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning

https://github.com/OpenBioLink/SAFRAN

공식 코드

Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs

https://github.com/OpenDFM/MobA

공식 코드

MobA: Multifaceted Memory-Enhanced Adaptive Planning for Efficient Mobile Task Automation

https://github.com/OpenISS/kg-recommendation-framework

공식 코드

Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy

https://github.com/OpenSparseLLMs/CLIP-MoE

공식 코드

CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling

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