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Knowledge Graphs

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하위 태스크: 5
평가표: 4
보존된 평가 기록: 19

A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.

코드

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

https://github.com/xinhaomei/wavcaps

공식 코드

WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research

https://github.com/xinke-wang/modaverse

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ModaVerse: Efficiently Transforming Modalities with LLMs

https://github.com/xinyulin-fz/lenie

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Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs

https://github.com/xinzhel/grammar

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GRAMMAR: Grounded and Modular Methodology for Assessment of Closed-Domain Retrieval-Augmented Language Model

https://github.com/xinzhel/llm-agent-survey

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A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learning

https://github.com/xiongbo010/neste

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NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning

https://github.com/xiongbo010/shrinke

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Shrinking Embeddings for Hyper-Relational Knowledge Graphs

https://github.com/xiongsiheng/tilp

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TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs

https://github.com/xiye17/textualexplincontext

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The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning

https://github.com/xjtuwgt/gnn-magna

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Multi-hop Attention Graph Neural Network

https://github.com/xlang-ai/arks

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EVOR: Evolving Retrieval for Code Generation

https://github.com/xlang-ai/batch-prompting

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Batch Prompting: Efficient Inference with Large Language Model APIs

https://github.com/xllyu-nlp/docia

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DoCIA: An Online Document-Level Context Incorporation Agent for Speech Translation

https://github.com/xmudm/dqabench

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Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation

https://github.com/xsc1234/info-rag

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Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation

https://github.com/xsc1234/search-in-the-chain

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Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks

https://github.com/xu737/PeFAD

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PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection

https://github.com/xuan-zw/lkpnr

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LKPNR: LLM and KG for Personalized News Recommendation Framework

https://github.com/xuanren4470/i-learn-better-if-you-speak-my-language

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I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses

https://github.com/xud-yan/Trident

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Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning

https://github.com/xueyangfeng/rehac

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Large Language Model-based Human-Agent Collaboration for Complex Task Solving

https://github.com/xunguangwang/instructta

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InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models

https://github.com/xuzhao0/model-selection-reasoning

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Automatic Model Selection with Large Language Models for Reasoning

https://github.com/xwhan/DeepPath

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DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning

https://github.com/xwhan/One-shot-Relational-Learning

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One-Shot Relational Learning for Knowledge Graphs

https://github.com/xxrep/golde

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Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization

https://github.com/xyin-anl/Nodeology

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PEAR: A Robust and Flexible Automation Framework for Ptychography Enabled by Multiple Large Language Model Agents

https://github.com/xypb/cleft

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CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning

https://github.com/xz-liu/grapheval

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Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs

https://github.com/xzascc/probingreflection

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From Emergence to Control: Probing and Modulating Self-Reflection in Language Models

https://github.com/xzy-xzy/CiteCheck

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CiteCheck: Towards Accurate Citation Faithfulness Detection

https://github.com/yale-lily/folio

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FOLIO: Natural Language Reasoning with First-Order Logic

https://github.com/yale-nlp/mcts-rag

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MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search

https://github.com/yale-sys/confidential-prompting

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Confidential Prompting: Protecting User Prompts from Cloud LLM Providers

https://github.com/yamanalab/gpt-augmented-news-recommendation

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News Recommendation with Category Description by a Large Language Model

https://github.com/yandex-research/sparqling-queries

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SPARQLing Database Queries from Intermediate Question Decompositions

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