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/duyguislakoglu/temt
공식 코드https://github.com/dvlab-research/LLMGA
공식 코드LLMGA: Multimodal Large Language Model based Generation Assistant
https://github.com/dvlab-research/diaggsm8k
공식 코드MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation
https://github.com/dvlab-research/lisa
공식 코드https://github.com/dvlab-research/mr-gsm8k
공식 코드MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation
https://github.com/dwslab/jRDF2Vec
공식 코드RDF2Vec Light -- A Lightweight Approach for Knowledge Graph Embeddings
https://github.com/dwzhu-pku/longembed
공식 코드LongEmbed: Extending Embedding Models for Long Context Retrieval
https://github.com/dxlong2000/multi-expert-prompting
공식 코드Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models
https://github.com/dyabel/anytool
공식 코드AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls
https://github.com/dyang67/GammaE
공식 코드GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs
https://github.com/eachsheep/ragsynth
공식 코드RAGSynth: Synthetic Data for Robust and Faithful RAG Component Optimization
https://github.com/earth-insights/segearth-r1
공식 코드SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model
https://github.com/eason-li-ais/drafterbench
공식 코드DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering
https://github.com/easonxiao-888/mindomni
공식 코드MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO
https://github.com/eastha0526/beyond-ontology-in-dst
공식 코드Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot
https://github.com/ecnu-text-computing/imsm
공식 코드https://github.com/ecofri/cxr_llava
공식 코드CXR-LLAVA: a multimodal large language model for interpreting chest X-ray images
https://github.com/ecrows/in-bloom
공식 코드In BLOOM: Creativity and Affinity in Artificial Lyrics and Art
https://github.com/edavalosanaya/LLMsAsEducationalAnalysts
공식 코드https://github.com/eddiegaoo/apt-serve
공식 코드Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving
https://github.com/edgaere/datetime
공식 코드DATETIME: A new benchmark to measure LLM translation and reasoning capabilities
https://github.com/edinburghnlp/mmlongbench
공식 코드MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly
https://github.com/edinburghnlp/spice
공식 코드Semantic Parsing for Conversational Question Answering over Knowledge Graphs
https://github.com/edisonni-hku/diras
공식 코드DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented Generation
https://github.com/edisutoyo/satd-augmentation
공식 코드Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt
https://github.com/edward-sun/pit
공식 코드Instruction-tuned Language Models are Better Knowledge Learners
https://github.com/egilron/afrisenti-semeval-2023
공식 코드https://github.com/ehsanlatif/g-sciedbert
공식 코드G-SciEdBERT: A Contextualized LLM for Science Assessment Tasks in German
https://github.com/ejaasaari/lorann
공식 코드LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search
https://github.com/ejaasaari/lorann-experiments
공식 코드LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search
https://github.com/ekrxjwh2009/R2-KG
공식 코드R2-KG: General-Purpose Dual-Agent Framework for Reliable Reasoning on Knowledge Graphs
https://github.com/elakhatibi/cdf-rag
공식 코드CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation
https://github.com/elated-sawyer/WALL-E
공식 코드WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents
https://github.com/eleurent/highway-env
공식 코드https://github.com/eleutherai/gpt-neox
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.