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Knowledge Graph Completion

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하위 태스크: 4
평가표: 7
보존된 평가 기록: 17

Knowledge graphs $G$ are represented as a collection of triples $\\{(h, r, t)\\}\subseteq E\times R\times E$, where $E$ and $R$ are the entity set and relation set. The task of Knowledge Graph Completion is to either predict unseen relations $r$ between two existing entities: $(h, ?, t)$ or predict the tail entity $t$ given the head entity and the query relation: $(h, r, ?)$.

Source: One-Shot Relational Learning for Knowledge Graphs

코드

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

https://github.com/yangyifei729/laco

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LaCo: Large Language Model Pruning via Layer Collapse

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Large Language Model Can Interpret Latent Space of Sequential Recommender

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Public Attitudes Toward ChatGPT on Twitter: Sentiments, Topics, and Occupations

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MEPNet: Medical Entity-balanced Prompting Network for Brain CT Report Generation

https://github.com/yanzhen4/taxoinstruct

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A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion

https://github.com/yao8839836/kg-bert

공식 코드

KG-BERT: BERT for Knowledge Graph Completion

https://github.com/yao8839836/kg-llm

공식 코드

Exploring Large Language Models for Knowledge Graph Completion

https://github.com/yaochenzhu/crag

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Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems

https://github.com/yaochenzhu/llm4rec

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Collaborative Large Language Model for Recommender Systems

https://github.com/yaoching0/gac

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Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling

https://github.com/yashkant/housekeep

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Housekeep: Tidying Virtual Households using Commonsense Reasoning

https://github.com/yasir-ali-farrukh/gnn4id

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XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model

https://github.com/ycpnotfound/geogen

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Enhancing the Geometric Problem-Solving Ability of Multimodal LLMs via Symbolic-Neural Integration

https://github.com/ydyjya/safetyheadattribution

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On the Role of Attention Heads in Large Language Model Safety

https://github.com/yefd/RRAG

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R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation

https://github.com/yeonjun-in/u-safebench

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Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models

https://github.com/yeyimilk/llmgpt4o

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Problematic Tokens: Tokenizer Bias in Large Language Models

https://github.com/yezato11/INTERSPEECH_Media

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Rapport-Driven Virtual Agent: Rapport Building Dialogue Strategy for Improving User Experience at First Meeting

https://github.com/yeziyi1998/brain-language-generation

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Language Generation from Brain Recordings

https://github.com/yfqiu-nlp/sea-llm

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Spectral Editing of Activations for Large Language Model Alignment

https://github.com/yfyuan01/ravenea

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RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture Understanding

https://github.com/yh-hust/pdf-wukong

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PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling

https://github.com/yhLeeee/Awesome-LLMs-in-Graph-tasks

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A Survey of Graph Meets Large Language Model: Progress and Future Directions

https://github.com/yhpeter/awesome-rag-evaluation

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Evaluation of Retrieval-Augmented Generation: A Survey

https://github.com/yifan-h/multilingual_space

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Adapters for Enhanced Modeling of Multilingual Knowledge and Text

https://github.com/yifanliu2/roegen-recsys-24-eqr

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Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination Recommendation

https://github.com/yifanlu0227/chatsim

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Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents

https://github.com/yifanxu74/libra

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Libra: Building Decoupled Vision System on Large Language Models

https://github.com/yihong-chen/refactorgnn

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ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective

https://github.com/yihuazhu111/orthogonale

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Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding

https://github.com/yilinjz/astchunk

공식 코드

cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree

https://github.com/yilunzhao/FinDVer

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FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documents

https://github.com/yimjinkyu1/date2024_pipette

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Pipette: Automatic Fine-grained Large Language Model Training Configurator for Real-World Clusters

https://github.com/yingkaid/jailfuzzer

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Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

https://github.com/yinzhangyue/eot

공식 코드

Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication

https://github.com/yiqingxyq/codebenchgen

공식 코드

CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks

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