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Large Language Model
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Ariostgx/lctgen
공식 코드https://github.com/Ariya12138/CORAL
공식 코드CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation
https://github.com/Arstanley/Awesome-Trustworthy-Retrieval-Augmented-Generation
공식 코드Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey
https://github.com/Atharva-Gundawar/LLM-Modulo-prompts
공식 코드Robust Planning with Compound LLM Architectures: An LLM-Modulo Approach
https://github.com/AvaLovelace1/LegoGPT
공식 코드Generating Physically Stable and Buildable LEGO Designs from Text
https://github.com/AwellmanZha/M2ConceptBase
공식 코드M^2ConceptBase: A Fine-Grained Aligned Concept-Centric Multimodal Knowledge Base
https://github.com/AzureStarz/paying_attention_to_the_source
공식 코드https://github.com/AzusaXuan/AnnoDPO
공식 코드AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization
https://github.com/BUAADreamer/SPN4CIR
공식 코드Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives
https://github.com/BZX667/DMPO
공식 코드https://github.com/BaranziniLab/KG_RAG
공식 코드Biomedical knowledge graph-optimized prompt generation for large language models
https://github.com/BillChan226/AgentPoison
공식 코드AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases
https://github.com/BriansIDP/video-SALMONN-o1
공식 코드video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model
https://github.com/ByungKwanLee/CoLLaVO
공식 코드https://github.com/ByunghweeLee-IU/Belief-Embedding
공식 코드A semantic embedding space based on large language models for modelling human beliefs
https://github.com/CSJianYang/Multilingual-Multimodal-NLP/tree/main/MT4CrossOIE
공식 코드MT4CrossOIE: Multi-stage Tuning for Cross-lingual Open Information Extraction
https://github.com/CatIIIIIIII/veriseek
공식 코드Large Language Model for Verilog Generation with Code-Structure-Guided Reinforcement Learning
https://github.com/Cavendish518/LE-Nav
공식 코드https://github.com/Chat-3D/Chat-3D
공식 코드Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes
https://github.com/ChengshuaiZhao0/SCALE
공식 코드https://github.com/ChenxiLiu-HNU/ST-LLM
공식 코드Spatial-Temporal Large Language Model for Traffic Prediction
https://github.com/Comcast/llm-stability
공식 코드https://github.com/CompNet/conivel
공식 코드Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset
https://github.com/CyberAgentAILab/diverse-mbr
공식 코드Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding
https://github.com/DM1122/LLMSat
공식 코드LLMSat: A Large Language Model-Based Goal-Oriented Agent for Autonomous Space Exploration
https://github.com/Daniel-Gong/ChatGPT_WM
공식 코드https://github.com/DataScienceUIBK/Rankify
공식 코드https://github.com/Deagogishvili/chapter-multi-task
공식 코드PatchProt: Hydrophobic patch prediction using protein foundation models
https://github.com/DeepSoftwareAnalytics/CoSQA_Plus
공식 코드CoSQA+: Pioneering the Multi-Choice Code Search Benchmark with Test-Driven Agents
https://github.com/Dongzhikang/MuseChat-dataset
공식 코드MuseChat: A Conversational Music Recommendation System for Videos
https://github.com/EarlFan/ChatCFD
공식 코드ChatCFD: an End-to-End CFD Agent with Domain-specific Structured Thinking
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/EmergenceAI/dartboard
공식 코드https://github.com/EncryptedBinary/Meta_analysis
공식 코드Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.