https://github.com/ulab-uiuc/gor
공식 코드Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs
Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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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/ulab-uiuc/safescientist
공식 코드SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM Agents
https://github.com/um-iral/resource-aware-coordination-airsim
공식 코드Communication- and Computation-Efficient Distributed Submodular Optimization in Robot Mesh Networks
https://github.com/um2ii/text2cohort
공식 코드Text2Cohort: Facilitating Intuitive Access to Biomedical Data with Natural Language Cohort Discovery
https://github.com/uma-pi1/grash
공식 코드Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings
https://github.com/uma-pi1/kgt5-context
공식 코드Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction
https://github.com/uma-pi1/wikidata5m-si
공식 코드A Benchmark for Semi-Inductive Link Prediction in Knowledge Graphs
https://github.com/umanlp/spkatt-2023
공식 코드Speaker attribution in German parliamentary debates with QLoRA-adapted large language models
https://github.com/umass-ml4ed/prompt_distractor_generation_naacl
공식 코드https://github.com/umass-ml4ed/reticl
공식 코드RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning
https://github.com/umass-ml4ed/syllabusqa
공식 코드https://github.com/umass-ml4ed/test_case_generation
공식 코드https://github.com/umass-ml4ed/tiktoc
공식 코드Test Case-Informed Knowledge Tracing for Open-ended Coding Tasks
https://github.com/umd-huang-lab/mementos
공식 코드https://github.com/unibwtas/collisionpro
공식 코드Collision Probability Distribution Estimation via Temporal Difference Learning
https://github.com/unicamp-dl/exaranker
공식 코드https://github.com/unified-language-model-alignment/src
공식 코드ULMA: Unified Language Model Alignment with Human Demonstration and Point-wise Preference
https://github.com/unimodal4reasoning/chartvlm
공식 코드StructChart: On the Schema, Metric, and Augmentation for Visual Chart Understanding
https://github.com/unimodal4reasoning/simchart9k
공식 코드StructChart: On the Schema, Metric, and Augmentation for Visual Chart Understanding
https://github.com/upper9527/gerea
공식 코드GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question Answering
https://github.com/upstageai/evalverse
공식 코드Evalverse: Unified and Accessible Library for Large Language Model Evaluation
https://github.com/uq-neusoft-health-data-science/activeea
공식 코드https://github.com/uqbingliu/emea
공식 코드https://github.com/uqbingliu/stea
공식 코드https://github.com/urban-world/urbanworld
공식 코드https://github.com/urchade/enrico
공식 코드https://github.com/usail-hkust/CoLLMLight
공식 코드CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control
https://github.com/usail-hkust/urbankgent
공식 코드UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction
https://github.com/usail-hkust/uukg
공식 코드UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction
https://github.com/usc-isi-i2/cskg
공식 코드https://github.com/usc-isi-i2/kgtk
공식 코드KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis
https://github.com/usc-isi-i2/kgtk-similarity
공식 코드User-friendly Comparison of Similarity Algorithms on Wikidata
https://github.com/ustcagi/crag-in-kdd-cup2024
공식 코드https://github.com/ustcagi/pruningrag
공식 코드Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study
https://github.com/ustcagi/rag-x
공식 코드Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study
https://github.com/uta-sprlab/phishlang
공식 코드PhishLang: A Real-Time, Fully Client-Side Phishing Detection Framework Using MobileBERT
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.