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Large Language Model

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/kimho666/llm_hardware_survey

공식 코드

Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective

https://github.com/kingsaint/InductiveExplainableLinkPrediction

공식 코드

Explainable Link Prediction for Emerging Entities in Knowledge Graphs

https://github.com/kingsaint/Open-vocabulary-entity-type-description

공식 코드

Generating Fine-Grained Open Vocabulary Entity Type Descriptions

https://github.com/kingsaint/Wikidata-Descriptions

공식 코드

Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions from Facts

https://github.com/kinianlo/contextuality-in-llm

공식 코드

Quantum-Like Contextuality in Large Language Models

https://github.com/kitft/funsearch

공식 코드

Generative Modeling for Mathematical Discovery

https://github.com/kjh9503/caqr

공식 코드

Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning

https://github.com/kkskp/re-rag

공식 코드

RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation

https://github.com/kkteru/grail

공식 코드

Inductive Relation Prediction by Subgraph Reasoning

https://github.com/kkyuhun94/dalda

공식 코드

DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance Scaling

https://github.com/klarna/product-page-dataset

공식 코드

The Klarna Product Page Dataset: Web Element Nomination with Graph Neural Networks and Large Language Models

https://github.com/kmatton/walk-the-talk

공식 코드

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

https://github.com/kmswin1/comdense

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ComDensE : Combined Dense Embedding of Relation-aware and Common Features for Knowledge Graph Completion

https://github.com/kmswin1/qpaug

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QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs

https://github.com/knowledge-graphs-tutorial/examples

공식 코드

Knowledge Graphs

https://github.com/knowledge-ukraine/ontochatgpt

공식 코드

OntoChatGPT Information System: Ontology-Driven Structured Prompts for ChatGPT Meta-Learning

https://github.com/knowsys/2022-iswc-reliances

공식 코드

Efficient Dependency Analysis for Rule-Based Ontologies

https://github.com/knowsys/nemo

공식 코드

Nemo: First Glimpse of a New Rule Engine

https://github.com/kolejnyy/ANYCQ

공식 코드

One Model, Any Conjunctive Query: Graph Neural Networks for Answering Complex Queries over Knowledge Graphs

https://github.com/komeijiforce/emojilm

공식 코드

EmojiLM: Modeling the New Emoji Language

https://github.com/kortukov/realistic_knowledge_conflicts

공식 코드

Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documents

https://github.com/kracr/rcone-qa-mmkg

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RConE: Rough Cone Embedding for Multi-Hop Logical Query Answering on Multi-Modal Knowledge Graphs

https://github.com/krafton-ai/rare-to-frequent

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Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance

https://github.com/kramerlab/focusedretriever

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Focus, Merge, Rank: Improved Question Answering Based on Semi-structured Knowledge Bases

https://github.com/krandiash/octopus

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Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing

https://github.com/krishgoel/chronocept-baseline-models

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Chronocept: Instilling a Sense of Time in Machines

https://github.com/krishgoel/hiro

공식 코드

HIRO: Hierarchical Information Retrieval Optimization

https://github.com/krr-oxford/boxsquaredel

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Dual Box Embeddings for the Description Logic EL++

https://github.com/krr-oxford/oet

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Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement

https://github.com/krystalan/RAGtrans

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Retrieval-Augmented Machine Translation with Unstructured Knowledge

https://github.com/krzentner/language-world

공식 코드

Conditionally Combining Robot Skills using Large Language Models

https://github.com/kse-eleven/makged

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Harnessing Diverse Perspectives: A Multi-Agent Framework for Enhanced Error Detection in Knowledge Graphs

https://github.com/ktlktl/c-llm

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C-LLM: Learn to Check Chinese Spelling Errors Character by Character

https://github.com/ktr0921/tac

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A Minimal Approach for Natural Language Action Space in Text-based Games

https://github.com/kuanchihhuang/reason3d

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Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model

https://github.com/kuanglab/LowrankTLP

공식 코드

Scalable Label Propagation for Multi-relational Learning on the Tensor Product of Graphs

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