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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/posterllava/posterllava
공식 코드PosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLM
https://github.com/potamides/automatikz
공식 코드AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ
https://github.com/pouriamrt/BHI_chatbot
공식 코드https://github.com/pouriarouzrokh/lattereview
공식 코드LatteReview: A Multi-Agent Framework for Systematic Review Automation Using Large Language Models
https://github.com/ppartha03/Semantic-Loss-Dialogue-Generation
공식 코드A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss
https://github.com/prabaey/synsum
공식 코드SynSUM -- Synthetic Benchmark with Structured and Unstructured Medical Records
https://github.com/prakash-aryan/qwen-arabic-project
공식 코드Resource-Aware Arabic LLM Creation: Model Adaptation, Integration, and Multi-Domain Testing
https://github.com/prateekchhikara/fire
공식 코드https://github.com/predlico/aragog
공식 코드https://github.com/primeqa/clapnq
공식 코드CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systems
https://github.com/princeton-nlp/helmet
공식 코드HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly
https://github.com/priyankamandikal/vedantany-10m
공식 코드Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philosophy
https://github.com/prnshv/oran-bench-13k
공식 코드ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks
https://github.com/project-baize/baize
공식 코드Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data
https://github.com/project-baize/baize-chatbot
공식 코드Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data
https://github.com/project-miracl/nomiracl
공식 코드https://github.com/proteingpt/proteingpt
공식 코드ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding
https://github.com/psunlpgroup/fish-dip
공식 코드Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning
https://github.com/ptzhangAlg/RecAlg
공식 코드https://github.com/puppy210/DaLPSR
공식 코드DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-Resolution
https://github.com/purduedualitylab/peatmoss-artifact
공식 코드PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software
https://github.com/py499372727/AgentSims
공식 코드AgentSims: An Open-Source Sandbox for Large Language Model Evaluation
https://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/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/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/qianwangx/instructedit
공식 코드InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions
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
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