https://github.com/riedlerm/multimodal_rag_for_industry
공식 코드Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial Applications
Papers with Code 아카이브
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/riflezhang/llava-hound-dpo
공식 코드Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward
https://github.com/rightbank/narrative-cartography-ontology
공식 코드https://github.com/rikdz/GraphWriter
공식 코드Text Generation from Knowledge Graphs with Graph Transformers
https://github.com/rikeilong/bay-cat
공식 코드CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios
https://github.com/riken-dko/generation_sparql
공식 코드https://github.com/rintaro-ando-tech/n2m-rsi-demo
공식 코드When Your Own Output Becomes Your Training Data: Noise-to-Meaning Loops and a Formal RSI Trigger
https://github.com/ritaranx/clingen
공식 코드https://github.com/ritaranx/collab-rag
공식 코드https://github.com/ritatsousa/expressionKGplus
공식 코드Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs
https://github.com/ritatsousa/expressionkg
공식 코드https://github.com/riyazahuja/ImProver
공식 코드https://github.com/rizquuula/QASiNa
공식 코드QASiNa: Religious Domain Question Answering using Sirah Nabawiyah
https://github.com/rkzheng99/villa
공식 코드ViLLa: Video Reasoning Segmentation with Large Language Model
https://github.com/rlhflow/online-rlhf
공식 코드https://github.com/rloganiv/kglm-model
공식 코드Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling
https://github.com/rlqja1107/NL-VSGG
공식 코드Weakly Supervised Video Scene Graph Generation via Natural Language Supervision
https://github.com/rlqja1107/torch-LLM4SGG
공식 코드LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation
https://github.com/rmanluo/np-fkgc
공식 코드Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion
https://github.com/rmit-ir/GRAG-LiveRAG
공식 코드https://github.com/rmit-ir/walert
공식 코드https://github.com/rmldj/memory-llm-paper
공식 코드https://github.com/rmovva/llm-publication-patterns-public
공식 코드Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers
https://github.com/roaminsight/roamresearch
공식 코드Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations
https://github.com/robert1003/ash-prompting
공식 코드Hierarchical Prompting Assists Large Language Model on Web Navigation
https://github.com/robertlakatos/ragvsfn
공식 코드https://github.com/robertvacareanu/llm4regression
공식 코드https://github.com/robinyjpark/autolabelclassifier
공식 코드Automated Spinal MRI Labelling from Reports Using a Large Language Model
https://github.com/rohangiriraj/CausalKG
공식 코드https://github.com/rongyaofang/got
공식 코드https://github.com/ronit-singhal/evidence-backed-fact-checking-using-rag-and-few-shot-in-context-learning-with-llms
공식 코드Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs
https://github.com/roshnigiyer/dgs
공식 코드Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs
https://github.com/royahe/acone
공식 코드Generating $SROI^-$ Ontologies via Knowledge Graph Query Embedding Learning
https://github.com/royweiss1/GPT_Keylogger
공식 코드What Was Your Prompt? A Remote Keylogging Attack on AI Assistants
https://github.com/rqwang/floodgpt_prototype
공식 코드https://github.com/rshaojimmy/jiutian
공식 코드LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.