Papers with Code 아카이브

Inductive knowledge graph completion

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

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/yide-qiu/unikg

공식 코드

UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs

https://github.com/yifan-h/multilingual_space

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Adapters for Enhanced Modeling of Multilingual Knowledge and Text

https://github.com/yifanliu2/roegen-recsys-24-eqr

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Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination Recommendation

https://github.com/yifanlu0227/chatsim

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Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents

https://github.com/yifanxu74/libra

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Libra: Building Decoupled Vision System on Large Language Models

https://github.com/yihong-chen/refactorgnn

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ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective

https://github.com/yihuazhu111/orthogonale

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Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding

https://github.com/yijia-xiao/know2bio

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Know2BIO: A Comprehensive Dual-View Benchmark for Evolving Biomedical Knowledge Graphs

https://github.com/yilinjz/astchunk

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cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree

https://github.com/yilunzhao/FinDVer

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FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documents

https://github.com/yimjinkyu1/date2024_pipette

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Pipette: Automatic Fine-grained Large Language Model Training Configurator for Real-World Clusters

https://github.com/yin-gz/nary-inductive-subgraph

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Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning

https://github.com/yinghy18/cortex

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CoRTEx: Contrastive Learning for Representing Terms via Explanations with Applications on Constructing Biomedical Knowledge Graphs

https://github.com/yingkaid/jailfuzzer

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Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

https://github.com/yinzhangyue/eot

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Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication

https://github.com/yiqingxyq/codebenchgen

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CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks

https://github.com/yisuanwang/soulstyler

공식 코드

Soulstyler: Using Large Language Model to Guide Image Style Transfer for Target Object

https://github.com/yiveen/syntheticdatafeasibility

공식 코드

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data

https://github.com/yixiangch/mrd-rag

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MRD-RAG: Enhancing Medical Diagnosis with Multi-Round Retrieval-Augmented Generation

https://github.com/yixuantt/MultiHop-RAG

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MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries

https://github.com/yizhilll/transher

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TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction

https://github.com/yjeugenia/maferw

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MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models

https://github.com/yjiangcm/lion

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Lion: Adversarial Distillation of Proprietary Large Language Models

https://github.com/yjsoh/youra

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You Only Use Reactive Attention Slice For Long Context Retrieval

https://github.com/ykumards/eclip

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Improving Medical Multi-modal Contrastive Learning with Expert Annotations

https://github.com/ykzhang721/COG

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Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models

https://github.com/ym689/rec_icl

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Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning

https://github.com/ymoslem/adaptive-mt-llm-fine-tuning

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Fine-tuning Large Language Models for Adaptive Machine Translation

https://github.com/yoadtew/zero-shot-image-to-text

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ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic

https://github.com/yoda-lab/dialectical-reconciliation-with-structured-argumentation

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Dialectical Reconciliation via Structured Argumentative Dialogues

https://github.com/yoda-lab/persona

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Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces

https://github.com/yohanjo/kenli

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Knowledge-Enhanced Evidence Retrieval for Counterargument Generation

https://github.com/yongaifadian1/Dynamic-Parameter-Memory_DPM

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Dynamic Parameter Memory: Temporary LoRA-Enhanced LLM for Long-Sequence Emotion Recognition in Conversation

https://github.com/yongchao98/promst

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PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling

https://github.com/yosukehiguchi/espnet

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Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition

https://github.com/you68681/lpw

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Planning-Driven Programming: A Large Language Model Programming Workflow

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.