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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/saptarshi059/cdqa-project

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Towards Efficient Methods in Medical Question Answering using Knowledge Graph Embeddings

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Through the Stealth Lens: Rethinking Attacks and Defenses in RAG

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RAG with Differential Privacy

https://github.com/sashakolpakov/granni

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Robust affine point matching via quadratic assignment on Grassmannians

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Robust affine point matching via quadratic assignment on Grassmannians

https://github.com/sashakolpakov/roam

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Robust affine point matching via quadratic assignment on Grassmannians

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CoS: Enhancing Personalization and Mitigating Bias with Context Steering

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Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning

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Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language Models

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$\textit{LinkPrompt}$: Natural and Universal Adversarial Attacks on Prompt-based Language Models

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From What to Respond to When to Respond: Timely Response Generation for Open-domain Dialogue Agents

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Is Bigger Edit Batch Size Always Better? -- An Empirical Study on Model Editing with Llama-3

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Archon: An Architecture Search Framework for Inference-Time Techniques

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RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining

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Meerkat: Audio-Visual Large Language Model for Grounding in Space and Time

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Multi-label Sequential Sentence Classification via Large Language Model

https://github.com/screemix/kgc-t5-with-neighbors

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Better Together: Enhancing Generative Knowledge Graph Completion with Language Models and Neighborhood Information

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BAR: A Backward Reasoning based Agent for Complex Minecraft Tasks

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TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

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Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models

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RAG-VR: Leveraging Retrieval-Augmented Generation for 3D Question Answering in VR Environments

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Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems

https://github.com/sebastian-steindl/CoPrUS_data

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CoPrUS: Consistency Preserving Utterance Synthesis towards more realistic benchmark dialogues

https://github.com/sec-bench/sec-bench

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SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks

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Exploring Retrieval Augmented Generation in Arabic

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Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway

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Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance

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Optimizing Retrieval Strategies for Financial Question Answering Documents in Retrieval-Augmented Generation Systems

https://github.com/sepermetric/seper

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SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction

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AgentAda: Skill-Adaptive Data Analytics for Tailored Insight Discovery

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