Large Language Model
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jiaangl/randomquantization
공식 코드Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation
https://github.com/jiaangl/report
공식 코드Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformers
https://github.com/jiajunyu1999/LLM4Drug
공식 코드Collaborative Expert LLMs Guided Multi-Objective Molecular Optimization
https://github.com/jiangbo-shi/vila-mil
공식 코드ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
https://github.com/jianghao-zhang/celltypeagent
공식 코드CellTypeAgent: Trustworthy cell type annotation with Large Language Models
https://github.com/jiangm-c/ifairlrs
공식 코드Item-side Fairness of Large Language Model-based Recommendation System
https://github.com/jianhaochen-nju/patecon
공식 코드https://github.com/jianhaochen-nju/tsdre
공식 코드Timeline-based Sentence Decomposition with In-Context Learning for Temporal Fact Extraction
https://github.com/jianlingl/llm_st_constparsing
공식 코드LLM-enhanced Self-training for Cross-domain Constituency Parsing
https://github.com/jianshuod/engorgio-prompt
공식 코드https://github.com/jianxu95/rallrec
공식 코드https://github.com/jianyu-cs/promptquine
공식 코드Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
https://github.com/jiapuwang/awesome-tkgc
공식 코드A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects
https://github.com/jieyilong/tree-of-thought-puzzle-solver
공식 코드https://github.com/jihaonew/mm-instruct
공식 코드MM-Instruct: Generated Visual Instructions for Large Multimodal Model Alignment
https://github.com/jiho283/FactKG
공식 코드https://github.com/jiho283/kg-gpt
공식 코드KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models
https://github.com/jimengshi/hypercube-rag
공식 코드https://github.com/jimmyma99/teleantifraud
공식 코드TeleAntiFraud-28k: An Audio-Text Slow-Thinking Dataset for Telecom Fraud Detection
https://github.com/jindongli-ai/next-generation-llm-based-recommender-systems-survey
공식 코드Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond
https://github.com/jinggqu/nextgen-uia
공식 코드Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis
https://github.com/jinghanzhang1998/ratt
공식 코드RATT: A Thought Structure for Coherent and Correct LLM Reasoning
https://github.com/jingkang50/openpvsg
공식 코드https://github.com/jingkang50/psg4d
공식 코드https://github.com/jinlab-imvr/medagent-pro
공식 코드MedAgent-Pro: Towards Evidence-based Multi-modal Medical Diagnosis via Reasoning Agentic Workflow
https://github.com/jiny1623/dynamicer
공식 코드DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG
https://github.com/jinyangwu/NoiserBench
공식 코드https://github.com/jinyansu1/aggd
공식 코드https://github.com/jinyansu1/eval_poisonrag
공식 코드https://github.com/jinyansu1/flare-aug
공식 코드https://github.com/jinzhuoran/rag-rewardbench
공식 코드https://github.com/jiyaowei/lp_nkgs
공식 코드https://github.com/jizhi-zhang/billp
공식 코드Large Language Models are Learnable Planners for Long-Term Recommendation
https://github.com/jizhi-zhang/fairllm
공식 코드Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation
https://github.com/jizhi-zhang/rec4agentverse_case
공식 코드Prospect Personalized Recommendation on Large Language Model-based Agent Platform
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.