https://github.com/zjukg/umaea
Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment
Papers with Code 아카이브
Large Language Model
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 3
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zjunlp/promptkgc
LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings
https://github.com/zrrskywalker/point-bind
https://github.com/ztcoalson/if-guide
Studying Large Language Model Generalization with Influence Functions
https://github.com/zyang1580/binllm
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
https://github.com/zyjcs/KGE-HAE
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://huggingface.co/datasets/alykassem/DSC-Benchmark
How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities
https://huggingface.co/datasets/jjjjh/MM-Instruct
MM-Instruct: Generated Visual Instructions for Large Multimodal Model Alignment
https://huggingface.co/datasets/liuhuijie6410/OmniDish-Edit-35K
Omni-Dish: Photorealistic and Faithful Image Generation and Editing for Arbitrary Chinese Dishes
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.