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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.

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GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis

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LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation

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Large Language Model Enhanced Recommender Systems: A Survey

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Large Language Model Distilling Medication Recommendation Model

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XY-Cut++: Advanced Layout Ordering via Hierarchical Mask Mechanism on a Novel Benchmark

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Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

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Long Context vs. RAG for LLMs: An Evaluation and Revisits

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Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination

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Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs

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un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP

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An Open Source Data Contamination Report for Large Language Models

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Two-Stage Single Image Reflection Removal with Reflection-Aware Guidance

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Contrastive Vision-Language Alignment Makes Efficient Instruction Learner

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LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model

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An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation

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Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation

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LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins

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Mixture of Tokens: Continuous MoE through Cross-Example Aggregation

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Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QA

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Rethinking Key-Value Cache Compression Techniques for Large Language Model Serving

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Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional Rotation

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Playpen: An Environment for Exploring Learning Through Conversational Interaction

https://github.com/lm-sys/fastchat

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Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

https://github.com/lmarena/p2l

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Prompt-to-Leaderboard

https://github.com/lmd0311/hermes

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HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation

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lmgame-Bench: How Good are LLMs at Playing Games?

https://github.com/lmmapplication/rakg

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RAKG:Document-level Retrieval Augmented Knowledge Graph Construction

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Datasets for Large Language Models: A Comprehensive Survey

https://github.com/lmous/openai-gpt4-coding-assistant

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OpenAi's GPT4 as coding assistant

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Log Parsing: How Far Can ChatGPT Go?

https://github.com/longhao-chen/aicas2024

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Optimization of Armv9 architecture general large language model inference performance based on Llama.cpp

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