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Knowledge Graph Completion

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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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Can a large language model be a gaslighter?

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Variational Learning for Unsupervised Knowledge Grounded Dialogs

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Ladder-residual: parallelism-aware architecture for accelerating large model inference with communication overlapping

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VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs

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CONFLARE: CONFormal LArge language model REtrieval

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Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

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FIRE: Fact-checking with Iterative Retrieval and Verification

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XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models

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MCCoder: Streamlining Motion Control with LLM-Assisted Code Generation and Rigorous Verification

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Deep Equilibrium Object Detection

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Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness

https://github.com/mcgrche/LetsPi--Planning-Safety-Trajectories-with-Dual-Phase-Physics-Informed-LLM

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Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language Models

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Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive Learning

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MuLan: Multimodal-LLM Agent for Progressive and Interactive Multi-Object Diffusion

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Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring

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Do "New Snow Tablets" Contain Snow? Large Language Models Over-Rely on Names to Identify Ingredients of Chinese Drugs

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ClinicalGPT-R1: Pushing reasoning capability of generalist disease diagnosis with large language model

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MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter Experts

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Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation

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Distilling Large Language Models using Skill-Occupation Graph Context for HR-Related Tasks

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Mathematical Reasoning for Unmanned Aerial Vehicles: A RAG-Based Approach for Complex Arithmetic Reasoning

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Attention Instruction: Amplifying Attention in the Middle via Prompting

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A Survey on Large Language Model based Autonomous Agents

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Asynchronous Large Language Model Enhanced Planner for Autonomous Driving

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Cross-modal RAG: Sub-dimensional Retrieval-Augmented Text-to-Image Generation

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The Super Weight in Large Language Models

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Beyond Scores: A Modular RAG-Based System for Automatic Short Answer Scoring with Feedback

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Dubo-SQL: Diverse Retrieval-Augmented Generation and Fine Tuning for Text-to-SQL

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WaferLLM: Large Language Model Inference at Wafer Scale

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VG-TVP: Multimodal Procedural Planning via Visually Grounded Text-Video Prompting

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Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production Challenges

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Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving Safety

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Towards Automatic Bias Detection in Knowledge Graphs

https://github.com/miccaiif/top

공식 코드

The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.