https://github.com/pipixin321/holmesvad
공식 코드Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM
Papers with Code 아카이브
Large Language Model
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/pitteryue/recommender-systems
공식 코드Recommender systems based on graph embedding techniques: A comprehensive review
https://github.com/pjlab-songcomposer/songcomposer
공식 코드SongComposer: A Large Language Model for Lyric and Melody Generation in Song Composition
https://github.com/pkargupta/epimine
공식 코드https://github.com/pku-dair/rag-survey
공식 코드Retrieval-Augmented Generation for AI-Generated Content: A Survey
https://github.com/pku-huzhang/AdamS
공식 코드AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training
https://github.com/pku-icst-mipl/firzen_icde2024
공식 코드https://github.com/pku-rl/creative-agents
공식 코드Creative Agents: Empowering Agents with Imagination for Creative Tasks
https://github.com/pku-sds-lab/poqd-icml25
공식 코드POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval
https://github.com/pku-yuangroup/chatlaw
공식 코드https://github.com/pku-yuangroup/machine-mindset
공식 코드Machine Mindset: An MBTI Exploration of Large Language Models
https://github.com/pkulcwmzx/knowledge-boundary
공식 코드https://github.com/pkunlp-icler/childtuning
공식 코드Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning
https://github.com/pkunlp-icler/pca-eval
공식 코드https://github.com/pkuserc/AAAI2021-MIUK-Relation-Extraction
공식 코드Multi-view Inference for Relation Extraction with Uncertain Knowledge
https://github.com/pkusjh/lass
공식 코드Joint Language Semantic and Structure Embedding for Knowledge Graph Completion
https://github.com/pkuyzy/cbgnn
공식 코드Cycle Representation Learning for Inductive Relation Prediction
https://github.com/pladifes/climate_finance_bench
공식 코드https://github.com/plageon/HtmlRAG
공식 코드HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
https://github.com/plan-lab/mtsbench
공식 코드mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale
https://github.com/pldlgb/MetaSD
공식 코드Self-Distillation with Meta Learning for Knowledge Graph Completion
https://github.com/pln-fing-udelar/payador
공식 코드https://github.com/plstory/ds2d
공식 코드DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan Design
https://github.com/plumdeq/neuro-kglink
공식 코드https://github.com/pmonnin/gcn-matching
공식 코드Discovering alignment relations with Graph Convolutional Networks: a biomedical case study
https://github.com/pmonnin/kgpm
공식 코드Tackling scalability issues in mining path patterns from knowledge graphs: a preliminary study
https://github.com/pnnl/chemreasoner
공식 코드https://github.com/pnnl/projection_ntk
공식 코드Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models
https://github.com/poloclub/llm-self-defense
공식 코드LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked
https://github.com/poloclub/mememo
공식 코드MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation
https://github.com/popcornell/ASRLightningFT
공식 코드Generating Data with Text-to-Speech and Large-Language Models for Conversational Speech Recognition
https://github.com/portal-cornell/robotouille
공식 코드Robotouille: An Asynchronous Planning Benchmark for LLM Agents
https://github.com/posgnu/rci-agent
공식 코드https://github.com/posterllava/posterllava
공식 코드PosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLM
https://github.com/potamides/automatikz
공식 코드AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ
https://github.com/pouriamrt/BHI_chatbot
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.