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Knowledge Graphs

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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/zhiyuanpeng/eloq

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ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions

https://github.com/zhoukanglei/cofinal_aqa

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CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment

https://github.com/zhouzihao501/nlpcc2023-shared-task3-chinesemwp

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Solving Math Word Problem with Problem Type Classification

https://github.com/zhrli324/argus

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Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems

https://github.com/zhrli324/corba

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CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models

https://github.com/zhuangshaobin/vlogger

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Vlogger: Make Your Dream A Vlog

https://github.com/zhudotexe/redel

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ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems

https://github.com/zhuole1025/LyricWhiz

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LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT

https://github.com/zhuqianglu/b-vllm

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B-VLLM: A Vision Large Language Model with Balanced Spatio-Temporal Tokens

https://github.com/zhurboo/RAGA

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RAGA: Relation-aware Graph Attention Networks for Global Entity Alignment

https://github.com/zhw12/BERTRL

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Inductive Relation Prediction by BERT

https://github.com/zhzihao/wikigenbench

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WIKIGENBENCH: Exploring Full-length Wikipedia Generation under Real-World Scenario

https://github.com/zhziszz/weak-to-strong-search

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Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models

https://github.com/zibinpan/mollm

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Multi-Objective Large Language Model Unlearning

https://github.com/zifengding/fitcarl

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Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning

https://github.com/zifengding/forecasttkgqa

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ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs

https://github.com/zifengding/zrllm

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zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models

https://github.com/zihaowang/text_enhanced_kge

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Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces

https://github.com/zilin-huang/HAIM-DRL

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HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving

https://github.com/ziyuguo99/point-bind_point-llm

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Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following

https://github.com/zjlab-ammi/llm4teach

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Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents

https://github.com/zjr2000/llmva-gebc

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LLMVA-GEBC: Large Language Model with Video Adapter for Generic Event Boundary Captioning

https://github.com/zjs123/anot

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Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability

https://github.com/zju-daily/aistorian

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AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generation

https://github.com/zju-daily/dualmatch

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Unsupervised Entity Alignment for Temporal Knowledge Graphs

https://github.com/zju-vipa/odyssey

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Odyssey: Empowering Minecraft Agents with Open-World Skills

https://github.com/zjukg/MEAformer

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MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid

https://github.com/zjukg/adamf-mat

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Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion

https://github.com/zjukg/ankge

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Analogical Inference Enhanced Knowledge Graph Embedding

https://github.com/zjukg/cause

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CausE: Towards Causal Knowledge Graph Embedding

https://github.com/zjukg/comprehensive-study-over-relational-patterns

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A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning

https://github.com/zjukg/conferenceqa

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Reliable Academic Conference Question Answering: A Study Based on Large Language Model

https://github.com/zjukg/earl

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Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding

https://github.com/zjukg/gpht-for-tsp

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Start from Zero: Triple Set Prediction for Automatic Knowledge Graph Completion

https://github.com/zjukg/kg-llm-papers

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Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle?

https://github.com/zjukg/kg-mm-survey

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Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

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