Inductive knowledge graph completion
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yur7nd/ptss
공식 코드Repurposing Knowledge Graph Embeddings for Triple Representation via Weak Supervision
https://github.com/yurifacanha/llmquoter
공식 코드LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts
https://github.com/yushuowiki/k-half
공식 코드HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs
https://github.com/yuwang-1024/dskreg
공식 코드DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN
https://github.com/yuxixie/v-dpo
공식 코드https://github.com/yuyangdu01/llm-cl-vqa
공식 코드LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery
https://github.com/yuyangye/mllm-msr
공식 코드Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
https://github.com/yuyaozhangqaq/query_compiler
공식 코드https://github.com/yxf203/poisonarena
공식 코드PoisonArena: Uncovering Competing Poisoning Attacks in Retrieval-Augmented Generation
https://github.com/yxh-y/tablerag
공식 코드TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning
https://github.com/yy-ko/khan-www23
공식 코드KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction
https://github.com/yyDing1/DS-NER
공식 코드Towards DS-NER: Unveiling and Addressing Latent Noise in Distant Annotations
https://github.com/yygroup/autocfd
공식 코드Fine-tuning a Large Language Model for Automating Computational Fluid Dynamics Simulations
https://github.com/yzhangchuck/sentinel
공식 코드Sentinel: Decoding Context Utilization via Attention Probing for Efficient LLM Context Compression
https://github.com/yzhao062/pyod
공식 코드PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection
https://github.com/z1zs/mmneuron
공식 코드MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model
https://github.com/z2sj4t/periguru
공식 코드https://github.com/zackschen/coin
공식 코드CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model
https://github.com/zaiwen/cropgpt
공식 코드ShizishanGPT: An Agricultural Large Language Model Integrating Tools and Resources
https://github.com/zankner/cloud
공식 코드https://github.com/zayne-sprague/deductive_additivity_for_planning_of_natural_language_proofs
공식 코드Deductive Additivity for Planning of Natural Language Proofs
https://github.com/zcaicaros/pmc
공식 코드Planning with Multi-Constraints via Collaborative Language Agents
https://github.com/zcccccz/causalwalk
공식 코드Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment
https://github.com/zdh2292390/ParTrans-X
공식 코드Efficient Parallel Translating Embedding For Knowledge Graphs
https://github.com/zefang-liu/InvAgent
공식 코드InvAgent: A Large Language Model based Multi-Agent System for Inventory Management in Supply Chains
https://github.com/zehong-wang/awesome-foundation-models-on-graphs
공식 코드https://github.com/zeng-yirong/ru22fact
공식 코드RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict
https://github.com/zengrh3/StructuralMemory
공식 코드https://github.com/zeroentropy-cc/legalbenchrag
공식 코드LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain
https://github.com/zeroxleo/ml-agent
공식 코드ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering
https://github.com/zetaalphavector/ragelo
공식 코드Evaluating RAG-Fusion with RAGElo: an Automated Elo-based Framework
https://github.com/zeyugao/virtualcompiler
공식 코드ViC: Virtual Compiler Is All You Need For Assembly Code Search
https://github.com/zh-wang-med/llm-rg4
공식 코드LLM-RG4: Flexible and Factual Radiology Report Generation across Diverse Input Contexts
https://github.com/zh460045050/v2l-tokenizer
공식 코드Beyond Text: Frozen Large Language Models in Visual Signal Comprehension
https://github.com/zhang-xiaokun/finerec
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.