Knowledge Graphs
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A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/violet24k/sphere
공식 코드SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval
https://github.com/vipulraheja/coedit
공식 코드https://github.com/virallab/turkishbertweet
공식 코드TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis
https://github.com/vishalpallagani/fable
공식 코드FABLE: A Novel Data-Flow Analysis Benchmark on Procedural Text for Large Language Model Evaluation
https://github.com/vision-cair/dochaystacks
공식 코드Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ Documents
https://github.com/vision-cair/minigpt-4
공식 코드MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
https://github.com/vision-cair/minigpt-med
공식 코드MiniGPT-Med: Large Language Model as a General Interface for Radiology Diagnosis
https://github.com/visioncortex/vtracer
공식 코드StarVector: Generating Scalable Vector Graphics Code from Images and Text
https://github.com/vistec-ai/nitibench
공식 코드NitiBench: A Comprehensive Studies of LLM Frameworks Capabilities for Thai Legal Question Answering
https://github.com/visual-haystacks/vhs_benchmark
공식 코드Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark
https://github.com/viswavi/few-shot-clustering
공식 코드https://github.com/vita-group/dp-opt
공식 코드DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
https://github.com/vita-mllm/vita-audio
공식 코드VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language Model
https://github.com/vivek3141/gg-bench
공식 코드https://github.com/vivian1993/ncrl
공식 코드Neural Compositional Rule Learning for Knowledge Graph Reasoning
https://github.com/vk0812/third-party-attacks-on-llms
공식 코드https://github.com/vl2g/PatentLMM
공식 코드PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures
https://github.com/vllm-project/vllm
공식 코드Efficient Memory Management for Large Language Model Serving with PagedAttention
https://github.com/voitijaner/Movie-RSs-Master-Thesis-Submission-Voit
공식 코드https://github.com/volcengine/vescale
공식 코드MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
https://github.com/vrmarathe/VirusT5
공식 코드VirusT5: Harnessing Large Language Models to Predicting SARS-CoV-2 Evolution
https://github.com/vyokky/LLM-Brained-GUI-Agents-Survey
공식 코드https://github.com/waetr/KET-RAG
공식 코드KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG
https://github.com/wakals/gascol
공식 코드Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation
https://github.com/wala/graph4code
공식 코드https://github.com/walkerworldpeace/mllmerging
공식 코드Unifying Multimodal Large Language Model Capabilities and Modalities via Model Merging
https://github.com/walledai/walledeval
공식 코드WalledEval: A Comprehensive Safety Evaluation Toolkit for Large Language Models
https://github.com/waltbai/G2S-TKG-forecasting
공식 코드https://github.com/waltonfuture/Diabetica
공식 코드https://github.com/waltonfuture/Diff-eRank
공식 코드Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
https://github.com/wang-yanting/tracllm
공식 코드TracLLM: A Generic Framework for Attributing Long Context LLMs
https://github.com/wangbo9719/L-Defense_EFND
공식 코드Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdom
https://github.com/wangbo9719/StAR_KGC
공식 코드Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion
https://github.com/wangclnlp/DeepSpeed-Chat-Extension/tree/main/examples/esrl
공식 코드ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation
https://github.com/wangjunchi/llmseg
공식 코드LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.