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Knowledge Graph Completion

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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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Improving LLM Unlearning Robustness via Random Perturbations

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RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in Recommendation

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Alignment faking in large language models

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SPRec: Leveraging Self-Play to Debias Preference Alignment for Large Language Model-based Recommendations

https://github.com/ren258/ARENA

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Effective and Transparent RAG: Adaptive-Reward Reinforcement Learning for Decision Traceability

https://github.com/renli1024/se-gnn

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How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View

https://github.com/renshuhuai-andy/timechat

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TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding

https://github.com/renzelou/awesome-instruction-learning

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Large Language Model Instruction Following: A Survey of Progresses and Challenges

https://github.com/responsibleailab/s3llm

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S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document

https://github.com/rezacsedu/DDI-prediction-KG-embeddings-Conv-LSTM

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Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network

https://github.com/rezzfayyazi/lea

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LLM Embedding-based Attribution (LEA): Quantifying Source Contributions to Generative Model's Response for Vulnerability Analysis

https://github.com/rgu-iit-bt/cbr-for-legal-rag

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CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering

https://github.com/rhaldarpurdue/kldo

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LLM Safety Alignment is Divergence Estimation in Disguise

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Can Github issues be solved with Tree Of Thoughts?

https://github.com/richard-peng-xia/mmed-rag

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MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

https://github.com/richard-peng-xia/rule

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RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models

https://github.com/rickyskywalker/synthesis_step-by-step_official

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Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

https://github.com/riedlerm/multimodal_rag_for_industry

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Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial Applications

https://github.com/riflezhang/llava-hound-dpo

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Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward

https://github.com/rikeilong/bay-cat

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CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios

https://github.com/rintaro-ando-tech/n2m-rsi-demo

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When Your Own Output Becomes Your Training Data: Noise-to-Meaning Loops and a Formal RSI Trigger

https://github.com/ritaranx/collab-rag

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Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration

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ImProver: Agent-Based Automated Proof Optimization

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QASiNa: Religious Domain Question Answering using Sirah Nabawiyah

https://github.com/rkzheng99/villa

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ViLLa: Video Reasoning Segmentation with Large Language Model

https://github.com/rlhflow/online-rlhf

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RLHF Workflow: From Reward Modeling to Online RLHF

https://github.com/rlqja1107/NL-VSGG

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Weakly Supervised Video Scene Graph Generation via Natural Language Supervision

https://github.com/rlqja1107/torch-LLM4SGG

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LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation

https://github.com/rmanluo/np-fkgc

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Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion

https://github.com/rmit-ir/GRAG-LiveRAG

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RMIT-ADM+S at the SIGIR 2025 LiveRAG Challenge

https://github.com/rmit-ir/walert

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Walert: Putting Conversational Search Knowledge into Action by Building and Evaluating a Large Language Model-Powered Chatbot

https://github.com/rmldj/memory-llm-paper

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Aspects of human memory and Large Language Models

https://github.com/rmovva/llm-publication-patterns-public

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Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers

https://github.com/roaminsight/roamresearch

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Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations

https://github.com/robert1003/ash-prompting

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Hierarchical Prompting Assists Large Language Model on Web Navigation

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