https://github.com/DexterZeng/UEA
공식 코드Towards Entity Alignment in the Open World: An Unsupervised Approach
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/DimitrisAlivas/StarQE
공식 코드https://github.com/Dongzhikang/MuseChat-dataset
공식 코드MuseChat: A Conversational Music Recommendation System for Videos
https://github.com/EagleW/PaperRobot
공식 코드PaperRobot: Incremental Draft Generation of Scientific Ideas
https://github.com/EarlFan/ChatCFD
공식 코드ChatCFD: an End-to-End CFD Agent with Domain-specific Structured Thinking
https://github.com/Ebiquity/KGFP
공식 코드Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization
https://github.com/EdenBelouadah/class-incremental-learning
공식 코드ScaIL: Classifier Weights Scaling for Class Incremental Learning
https://github.com/EleutherAI/math-lm
공식 코드https://github.com/Elric2718/Bayes_Embedding
공식 코드https://github.com/EmergenceAI/dartboard
공식 코드https://github.com/EncryptedBinary/Meta_analysis
공식 코드Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesis
https://github.com/EpistasisLab/pennai
공식 코드Evaluating recommender systems for AI-driven biomedical informatics
https://github.com/EruM16/Attention-Seeker
공식 코드Attention-Seeker: Dynamic Self-Attention Scoring for Unsupervised Keyphrase Extraction
https://github.com/ErxinYu/CoSafe-Dataset
공식 코드CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference
https://github.com/EsmaeilNarimissa/RAG-Retrieval-Analysis
공식 코드https://github.com/EthanLifeGreat/SuDoSys
공식 코드Structured Dialogue System for Mental Health: An LLM Chatbot Leveraging the PM+ Guidelines
https://github.com/EvalCrafter/EvalCrafter
공식 코드EvalCrafter: Benchmarking and Evaluating Large Video Generation Models
https://github.com/EvoNexusX/Graph-Retrieval-Augmented-Trustworthiness-Reasoning
공식 코드GRATR: Zero-Shot Evidence Graph Retrieval-Augmented Trustworthiness Reasoning
https://github.com/Ezharjan/AutoSceneGen
공식 코드Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner
https://github.com/FKIRSTE/emnlp2024-personalized-meeting-sum
공식 코드https://github.com/FaisalQarah/EgyBERT
공식 코드EgyBERT: A Large Language Model Pretrained on Egyptian Dialect Corpora
https://github.com/Fangkang515/CE3D
공식 코드https://github.com/FeiLiu36/LLM4MOEA
공식 코드Large Language Model for Multi-objective Evolutionary Optimization
https://github.com/FelixFrohnertDB/arxiv_nlp
공식 코드Discovering emergent connections in quantum physics research via dynamic word embeddings
https://github.com/Flossiee/HonestyLLM
공식 코드HonestLLM: Toward an Honest and Helpful Large Language Model
https://github.com/FomalhautB/KM-BART-ACL
공식 코드KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation
https://github.com/ForzaETH/LLMxRobot
공식 코드Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models
https://github.com/FoundationVision/Groma
공식 코드Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
https://github.com/FoundationVision/VAR
공식 코드Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
https://github.com/FudanDNN-NLP/RAG
공식 코드Searching for Best Practices in Retrieval-Augmented Generation
https://github.com/GAIR-NLP/PC-Agent
공식 코드PC Agent: While You Sleep, AI Works -- A Cognitive Journey into Digital World
https://github.com/GRAAL-Research/quebec-insurance-rag-corpora
공식 코드Quebec Automobile Insurance Question-Answering With Retrieval-Augmented Generation
https://github.com/GanjinZero/CODER
공식 코드CODER: Knowledge infused cross-lingual medical term embedding for term normalization
https://github.com/GemsLab/KGist
공식 코드https://github.com/GenseeAI/cognify
공식 코드Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning
https://github.com/GentleZhu/EGI
공식 코드Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.