https://github.com/lavis-nlp/irt2
공식 코드IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying Scale
Papers with Code 아카이브
Inductive knowledge graph completion
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 3
- 보존된 평가 기록
- 6
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/laytextllm/laytextllm
공식 코드https://github.com/lazychih114/AgentGen-Reproduction
공식 코드https://github.com/lb0828/ftg
공식 코드https://github.com/lbauer6/IdentifyAlignIntegrate
공식 코드Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks
https://github.com/lbox-kr/kbl
공식 코드https://github.com/lbox-kr/nestle
공식 코드NESTLE: a No-Code Tool for Statistical Analysis of Legal Corpus
https://github.com/lbynum/sequence-driven-scms
공식 코드https://github.com/lcai2/lighttea
공식 코드https://github.com/lcai2/stea
공식 코드https://github.com/lchen001/llmdrift
공식 코드https://github.com/lcs0215/oraclefusion
공식 코드https://github.com/lcs2-iiitd/emnlp-coffee
공식 코드https://github.com/lcy80366872/knowledgeable-r1
공식 코드Knowledgeable-r1: Policy Optimization for Knowledge Exploration in Retrieval-Augmented Generation
https://github.com/ldilab/ecorag
공식 코드ECoRAG: Evidentiality-guided Compression for Long Context RAG
https://github.com/ldos-project/tracellm
공식 코드Large Language Models as Realistic Microservice Trace Generators
https://github.com/ldzhangyx/loop-copilot
공식 코드Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editing
https://github.com/leafmonkeylabs/semantix
공식 코드Meaning Typed Prompting: A Technique for Efficient, Reliable Structured Output Generation
https://github.com/leapxcheng/rawnp
공식 코드https://github.com/lechengkong/oneforall
공식 코드One for All: Towards Training One Graph Model for All Classification Tasks
https://github.com/leduckhai/wav2graph
공식 코드wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech
https://github.com/leeeeoliu/llm-crs
공식 코드https://github.com/leezekun/dialogic
공식 코드https://github.com/leezekun/macrag
공식 코드MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAG
https://github.com/lehaifeng/T-GCN
공식 코드KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
https://github.com/leililab/infinisst
공식 코드InfiniSST: Simultaneous Translation of Unbounded Speech with Large Language Model
https://github.com/leililab/rare
공식 코드RARE: Retrieval-Aware Robustness Evaluation for Retrieval-Augmented Generation Systems
https://github.com/leirunlin/text-level-graph-attack
공식 코드Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level
https://github.com/lemingshen/GPIoT
공식 코드GPIoT: Tailoring Small Language Models for IoT Program Synthesis and Development
https://github.com/lenazellinger/counterfactual_kgr
공식 코드https://github.com/lenkatetkova/knowledge-graphs-for-empirical-concept-retrieval
공식 코드https://github.com/leon1207/video-rag-master
공식 코드Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension
https://github.com/leslie071564/big5-llm-negotiator
공식 코드How Personality Traits Influence Negotiation Outcomes? A Simulation based on Large Language Models
https://github.com/lezhang7/moqagpt
공식 코드MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model
https://github.com/lezhang7/rearank
공식 코드REARANK: Reasoning Re-ranking Agent via Reinforcement Learning
https://github.com/lfsszd/cs-drafting
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.