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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/chenchens190009/kg-s2s

공식 코드

Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion

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Subobject-level Image Tokenization

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Empirical Asset Pricing with Large Language Model Agents

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Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting

https://github.com/chenneking/citegeist

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Citegeist: Automated Generation of Related Work Analysis on the arXiv Corpus

https://github.com/chenyiqun/mmoa-rag

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Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning

https://github.com/chenyu-jiang/megatron-lm

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DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines

https://github.com/chenzhongwu20/rulerag_icl_ft

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RuleRAG: Rule-guided retrieval-augmented generation with language models for question answering

https://github.com/cherise215/LLM-ECG-Dual-Attention

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Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction

https://github.com/chiang-yuan/llamp

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LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

https://github.com/chiangel/awesome-llm-for-recsys

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How Can Recommender Systems Benefit from Large Language Models: A Survey

https://github.com/chicosirius/think-or-not

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Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens

https://github.com/chilab1/medpix-2.0

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MedPix 2.0: A Comprehensive Multimodal Biomedical Data set for Advanced AI Applications

https://github.com/chilab1/unipagpt-23

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Unipa-GPT: Large Language Models for university-oriented QA in Italian

https://github.com/chrisliu298/llm-unlearn-eco

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Large Language Model Unlearning via Embedding-Corrupted Prompts

https://github.com/chrismun/vvllm

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LLM4VV: Developing LLM-Driven Testsuite for Compiler Validation

https://github.com/chrispapa2000/maskgst

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Masked Generative Story Transformer with Character Guidance and Caption Augmentation

https://github.com/cht619/lvshan

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Lshan-1.0 Technical Report

https://github.com/chuangtaochen-tum/livemind

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LiveMind: Low-latency Large Language Models with Simultaneous Inference

https://github.com/chuanmeng/qpp-genre

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Query Performance Prediction using Relevance Judgments Generated by Large Language Models

https://github.com/chuanmeng/rlt4reranking

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Ranked List Truncation for Large Language Model-based Re-Ranking

https://github.com/chuhac/atm-rag

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ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator

https://github.com/chuxuzhang/AAAI2020_FSRL

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Few-Shot Knowledge Graph Completion

https://github.com/cibr-okubo-lab/speechbci_2024

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Brain-to-Text Benchmark '24: Lessons Learned

https://github.com/ciol-researchlab/ukil

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Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modeling

https://github.com/circle-hit/moei

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Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence

https://github.com/circleradon/tokenpacker

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TokenPacker: Efficient Visual Projector for Multimodal LLM

https://github.com/cisco-open/DeepVision/tree/main/recallm

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RecallM: An Adaptable Memory Mechanism with Temporal Understanding for Large Language Models

https://github.com/cisnlp/xampler

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XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples

https://github.com/cjx96/loid

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Enhancing Content-based Recommendation via Large Language Model

https://github.com/ckdjrkffz/layout-agent

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Layout Generation Agents with Large Language Models

https://github.com/ckdjrkffz/web-page-classifier

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Web Page Classification using LLMs for Crawling Support

https://github.com/cl-premonition/premonition

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Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning

https://github.com/cl-victor1/exalt_2024_bcsz

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TEII: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion Detection

https://github.com/claudmor/multi_task_multi_class_neural_directed_link_prediction

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Multi-Class and Multi-Task Strategies for Neural Directed Link Prediction

https://github.com/claws-lab/projection-in-mllms

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Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual Space

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