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Inductive knowledge graph completion

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하위 태스크: 1
평가표: 3
보존된 평가 기록: 6

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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