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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/conveyor-sys/conveyor

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Conveyor: Efficient Tool-aware LLM Serving with Tool Partial Execution

https://github.com/cooperative-ia/cooperativegpt

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Can LLM-Augmented autonomous agents cooperate?, An evaluation of their cooperative capabilities through Melting Pot

https://github.com/copenlu/context-utilisation-for-rag

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A Reality Check on Context Utilisation for Retrieval-Augmented Generation

https://github.com/cornell-zhang/allo

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Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference

https://github.com/craftjarvis/minestudio

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MineStudio: A Streamlined Package for Minecraft AI Agent Development

https://github.com/crealabs/enhanced-bge-m3-with-clp-and-moe

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Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp)

https://github.com/creapar/crowdscore

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Crowd Score: A Method for the Evaluation of Jokes using Large Language Model AI Voters as Judges

https://github.com/cristianopatricio/2-step-concept-based-skin-diagnosis

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A Two-Step Concept-Based Approach for Enhanced Interpretability and Trust in Skin Lesion Diagnosis

https://github.com/cruiseresearchgroup/MAPLE

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MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings

https://github.com/cruiseresearchgroup/i-align

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i-Align: an interpretable knowledge graph alignment model

https://github.com/crypto-code/mu-llama

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Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning

https://github.com/cs-anonymous/expath

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eXpath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path Rules

https://github.com/cs-edwards/advrag

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Hybrid Context Retrieval Augmented Generation Pipeline: LLM-Augmented Knowledge Graphs and Vector Database for Accreditation Reporting Assistance

https://github.com/csbao/kip-privatization

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Keep It Private: Unsupervised Privatization of Online Text

https://github.com/cshaitao/lexrag

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LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation

https://github.com/csjianyang/multilingual-multimodal-nlp

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MT4CrossOIE: Multi-stage Tuning for Cross-lingual Open Information Extraction

https://github.com/csjywu1/adkgd

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ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training

https://github.com/cssai-research/muserag

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MuseRAG: Idea Originality Scoring At Scale

https://github.com/cstevenson-uva/creAI-gpt3

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Putting GPT-3's Creativity to the (Alternative Uses) Test

https://github.com/cstevenson-uva/kidsarc

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Do Large Language Models Solve ARC Visual Analogies Like People Do?

https://github.com/csu-nlp-group/medikal

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medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs

https://github.com/cteant/space

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Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding

https://github.com/cuhealthybrains/mt-llm

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Large Language Model Can Transcribe Speech in Multi-Talker Scenarios with Versatile Instructions

https://github.com/cuhk-arise/mas-resilience

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On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

https://github.com/curai/curai-research

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DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents

https://github.com/cure-lab/guardt2i

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GuardT2I: Defending Text-to-Image Models from Adversarial Prompts

https://github.com/cv-lee/financerag

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Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challenge

https://github.com/cvs-health/langfair

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An Actionable Framework for Assessing Bias and Fairness in Large Language Model Use Cases

https://github.com/cxcscmu/llm-interviewer

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Understand User Opinions of Large Language Models via LLM-Powered In-the-Moment User Experience Interviews

https://github.com/cxcscmu/ragviz

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RAGViz: Diagnose and Visualize Retrieval-Augmented Generation

https://github.com/cyberooo/manicod

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Detecting Manipulated Contents Using Knowledge-Grounded Inference

https://github.com/cycloneboy/base_sql

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BASE-SQL: A powerful open source Text-To-SQL baseline approach

https://github.com/cyjie429/pmd

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Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion

https://github.com/cynricfu/fedhgn

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FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks

https://github.com/cysecbench/dataset

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CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models

https://github.com/czy1999/synthrag

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An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A Platforms

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