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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/bowang-lab/medrax

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MedRAX: Medical Reasoning Agent for Chest X-ray

https://github.com/bowen-upenn/scene_graph_commonsense

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Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge

https://github.com/bplaut/llm-calibration-and-correctness-prediction

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Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A

https://github.com/bplaut/softmax-probs-predict-llm-correctness

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Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A

https://github.com/bradleypallen/evaluating-kg-class-memberships-using-llms

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Evaluating Class Membership Relations in Knowledge Graphs using Large Language Models

https://github.com/bradleypallen/zero-shot-classifiers-for-conceptual-engineering

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Conceptual Engineering Using Large Language Models

https://github.com/bradyfu/awesome-multimodal-large-language-models

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A Survey on Multimodal Large Language Models

https://github.com/breckbaldwin/llm-stability

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Non-Determinism of "Deterministic" LLM Settings

https://github.com/brickee/zerokbc

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ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion

https://github.com/brotherhappy/ostquant

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OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting

https://github.com/brown-palm/Vamos

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Vamos: Versatile Action Models for Video Understanding

https://github.com/brucewang123456789/GeniusTrail

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Reducing Reasoning Costs: The Path of Optimization for Chain of Thought via Sparse Attention Mechanism

https://github.com/bryanchrist/mathneuro

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Math Neurosurgery: Isolating Language Models' Math Reasoning Abilities Using Only Forward Passes

https://github.com/bs-000/bgh-ls-llms-ler

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Summarisation of German Judgments in conjunction with a Class-based Evaluation

https://github.com/buaadreamer/easyrag

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EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations

https://github.com/bugmakerzzz/linked_code

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LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning

https://github.com/bugtig6351/lfqa_evaluation

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An Empirical Study of Evaluating Long-form Question Answering

https://github.com/bunsenfeng/kalm

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KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding

https://github.com/bupt-gamma/graphteam

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GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration

https://github.com/bupt-gamma/pathrag

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PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths

https://github.com/buptwululu/fg-rag

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FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG

https://github.com/burcgokden/PLDR-LLM-with-KVG-cache

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PLDR-LLMs Learn A Generalizable Tensor Operator That Can Replace Its Own Deep Neural Net At Inference

https://github.com/burcgokden/llm-from-power-law-decoder-representations

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PLDR-LLM: Large Language Model from Power Law Decoder Representations

https://github.com/bwz96sco/or_llm_agent

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OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problem with Reasoning Large Language Model

https://github.com/bxshi/ConMask

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Open-World Knowledge Graph Completion

https://github.com/byronbbl/ck-plug

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Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models

https://github.com/byronbbl/context-dpo

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Context-DPO: Aligning Language Models for Context-Faithfulness

https://github.com/bys0318/qto

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Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization

https://github.com/bytedance-seed/seed-coder

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Seed-Coder: Let the Code Model Curate Data for Itself

https://github.com/bytedance-seed/straggleranalysis

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Understanding Stragglers in Large Model Training Using What-if Analysis

https://github.com/bytedance/MoMA

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MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation

https://github.com/bytedance/hllm

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HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling

https://github.com/bytedance/imageref-vl

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ImageRef-VL: Enabling Contextual Image Referencing in Vision-Language Models

https://github.com/bytedance/omniscient-model

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Towards Open-Ended Visual Recognition with Large Language Model

https://github.com/bytedance/pargo

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MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

https://github.com/bytedance/sail

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The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer

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