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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.

https://github.com/malteos/pytorch-bert-document-classification

공식 코드

Enriching BERT with Knowledge Graph Embeddings for Document Classification

https://github.com/mandt-lab/knowledge-graph-tuning

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Augmenting and Tuning Knowledge Graph Embeddings

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SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models

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This Land is {Your, My} Land: Evaluating Geopolitical Biases in Language Models

https://github.com/manestay/bordirlines

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BordIRlines: A Dataset for Evaluating Cross-lingual Retrieval-Augmented Generation

https://github.com/mangopy/direct-rag-learning

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Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models

https://github.com/manthan2305/Efficient-G-Retriever

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Efficient Document Retrieval with G-Retriever

https://github.com/manuelfay/llm-data-hub

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CroissantLLM: A Truly Bilingual French-English Language Model

https://github.com/manveertamber/content_injection_attacks

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Illusions of Relevance: Using Content Injection Attacks to Deceive Retrievers, Rerankers, and LLM Judges

https://github.com/marc1198/chat-hsr

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LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household Robotics

https://github.com/marcosfp97/llm-binary-health-qa

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Evaluating Search Engines and Large Language Models for Answering Health Questions

https://github.com/mariavale/contextual_inform

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Measuring Contextual Informativeness in Child-Directed Text

https://github.com/mariosaenger/biore-kplm-benchmark

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Knowledge-augmented Pre-trained Language Models for Biomedical Relation Extraction

https://github.com/maris205/dnahl

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DNAHLM -- DNA sequence and Human Language mixed large language Model

https://github.com/markellekelly/ai_mental_models

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Capturing Humans' Mental Models of AI: An Item Response Theory Approach

https://github.com/marker-inc-korea/autorag_aragog_paper

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AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation Pipeline

https://github.com/martiansideofthemoon/rankgen

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RankGen: Improving Text Generation with Large Ranking Models

https://github.com/martin-wey/peft-llm-code

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Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models

https://github.com/maryambrj/alien

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Comparative Analysis of AI Agent Architectures for Entity Relationship Classification

https://github.com/mas-takayama/LLM-and-SCD/tree/main/codes

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Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach

https://github.com/mas-takayama/llm-and-scd

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Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach

https://github.com/masoud-monajati/llm_bio_ner

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LLMs in Biomedicine: A study on clinical Named Entity Recognition

https://github.com/masterai-eam/darwin

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DARWIN Series: Domain Specific Large Language Models for Natural Science

https://github.com/masterai-eam/scicrawler

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DARWIN Series: Domain Specific Large Language Models for Natural Science

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GASLITEing the Retrieval: Exploring Vulnerabilities in Dense Embedding-based Search

https://github.com/matchyc/RoarGraph

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RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search

https://github.com/mathiasj33/boxsquaredel

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Dual Box Embeddings for the Description Logic EL++

https://github.com/matsui528/lotf

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LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table

https://github.com/mattbierbaum/arxiv-public-datasets

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On the Use of ArXiv as a Dataset

https://github.com/maxischuh/twinbooster

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TwinBooster: Synergising Large Language Models with Barlow Twins and Gradient Boosting for Enhanced Molecular Property Prediction

https://github.com/maxwe11y/gaslightingllm

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Can a large language model be a gaslighter?

https://github.com/mayank31398/VRAG

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Variational Learning for Unsupervised Knowledge Grounded Dialogs

https://github.com/mayank31398/ladder-residual-inference

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

https://github.com/mayhugotong/videoinsta

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

https://github.com/mayo-radiology-informatics-lab/conflare

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CONFLARE: CONFormal LArge language model REtrieval

https://github.com/mayubo2333/llm-ie

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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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