https://github.com/purdueminds/isdea
공식 코드Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types
Papers with Code 아카이브
Large Language Model
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/py499372727/AgentSims
공식 코드AgentSims: An Open-Source Sandbox for Large Language Model Evaluation
https://github.com/pykeen/ilpc2022
공식 코드An Open Challenge for Inductive Link Prediction on Knowledge Graphs
https://github.com/pykeen/pykeen
공식 코드https://github.com/pykeen/ranking-metrics-manuscript
공식 코드A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs
https://github.com/pzh97/learning-rules-from-kgs-guided-by-language-models
공식 코드https://github.com/qai222/llm_organic_synthesis
공식 코드https://github.com/qas-lab/piersonreu
공식 코드Automated Bug Report Prioritization in Large Open-Source Projects
https://github.com/qcri/rdfframes
공식 코드RDFFrames: Knowledge Graph Access for Machine Learning Tools
https://github.com/qdin4048/CPL-OT
공식 코드Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment
https://github.com/qhjqhj00/memorag
공식 코드MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery
https://github.com/qianbozang/kg-htc
공식 코드https://github.com/qiancheng0/ekd_impacts_pkg
공식 코드"Merge Conflicts!" Exploring the Impacts of External Distractors to Parametric Knowledge Graphs
https://github.com/qiancheng0/open-smartagent
공식 코드https://github.com/qianlima-lab/awesome-lifelong-llm-agent
공식 코드Lifelong Learning of Large Language Model based Agents: A Roadmap
https://github.com/qianlima-lab/clmpt
공식 코드Conditional Logical Message Passing Transformer for Complex Query Answering
https://github.com/qianwangx/instructedit
공식 코드InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions
https://github.com/qianyue-wang/dome
공식 코드Generating Long-form Story Using Dynamic Hierarchical Outlining with Memory-Enhancement
https://github.com/qiaoyran/login
공식 코드LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework
https://github.com/qiaw99/Cross-Refine
공식 코드Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem
https://github.com/qijimrc/robust
공식 코드Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction
https://github.com/qinchuanhui/uda-benchmark
공식 코드UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis
https://github.com/qingfei1/longrag
공식 코드https://github.com/qingfei1/r-search
공식 코드R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning
https://github.com/qinyuma316/retrosynthesisagent
공식 코드Leveraging Large Language Models as Knowledge-Driven Agents for Reliable Retrosynthesis Planning
https://github.com/qiuhaolu/tner
공식 코드Large Language Models Struggle in Token-Level Clinical Named Entity Recognition
https://github.com/qizekun/ShapeLLM
공식 코드ShapeLLM: Universal 3D Object Understanding for Embodied Interaction
https://github.com/qizhou000/visedit
공식 코드https://github.com/qlm-project/qlm
공식 코드Queue management for slo-oriented large language model serving
https://github.com/qlu-nlp/biancang
공식 코드BianCang: A Traditional Chinese Medicine Large Language Model
https://github.com/qmme/t2vqa
공식 코드Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment
https://github.com/qq-mm/video-ccam
공식 코드https://github.com/qqqube/emulate
공식 코드https://github.com/qqw-ing/rag-reasonalignment
공식 코드AlignRAG: Leveraging Critique Learning for Evidence-Sensitive Retrieval-Augmented Reasoning
https://github.com/quanshr/dmoerm
공식 코드DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling
https://github.com/quark0/ANALOGY
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.