https://github.com/aidc-ai/comfyui-copilot
공식 코드ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development
Papers with Code 아카이브
Large Language Model
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/aielte-research/HackSynth
공식 코드HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing
https://github.com/aiha-lab/rilq
공식 코드https://github.com/aika-wsd/KGPA
공식 코드KGPA: Robustness Evaluation for Large Language Models via Cross-Domain Knowledge Graphs
https://github.com/ailab-cvc/seed
공식 코드https://github.com/ailab-cvc/seed-x
공식 코드SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing
https://github.com/ailab-kyunghee/kg-llava
공식 코드https://github.com/aim-harvard/oncqa
공식 코드The impact of responding to patient messages with large language model assistance
https://github.com/aim-intelligence/repbend
공식 코드https://github.com/aimagelab/safe-clip
공식 코드Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models
https://github.com/aiming-lab/CITER
공식 코드CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing
https://github.com/aiming-lab/mdocagent
공식 코드MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding
https://github.com/ainativehealth/goodmedicalcoder
공식 코드Large language models are good medical coders, if provided with tools
https://github.com/aiondemand/aiod-chatbot
공식 코드Talk2X -- An Open-Source Toolkit Facilitating Deployment of LLM-Powered Chatbots on the Web
https://github.com/aiot-mlsys-lab/svd-llm
공식 코드SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
https://github.com/ais-snu/smart-infinity
공식 코드Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System
https://github.com/aise-tudelft/codelicensingexploration
공식 코드https://github.com/aisl-at-imperial-college-london/fault-handling-agentic-llms-for-controlled-operations
공식 코드Leveraging LLM Agents and Digital Twins for Fault Handling in Process Plants
https://github.com/aistairc/RDF-star2Vec
공식 코드https://github.com/aistairc/VDAct
공식 코드A Video-grounded Dialogue Dataset and Metric for Event-driven Activities
https://github.com/aistairc/conversational-grounding-llm
공식 코드Towards Harnessing Large Language Models for Comprehension of Conversational Grounding
https://github.com/aistairc/kgrc-rdf-star
공식 코드https://github.com/aistairc/vhakg-tools
공식 코드VHAKG: A Multi-modal Knowledge Graph Based on Synchronized Multi-view Videos of Daily Activities
https://github.com/aistairc/virtualhome2kg
공식 코드Synthesizing Event-centric Knowledge Graphs of Daily Activities Using Virtual Space
https://github.com/aistairc/virtualhome_aist
공식 코드VHAKG: A Multi-modal Knowledge Graph Based on Synchronized Multi-view Videos of Daily Activities
https://github.com/aita-ai4ed/aita
공식 코드AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs
https://github.com/aitomatic/semikong
공식 코드SemiKong: Curating, Training, and Evaluating A Semiconductor Industry-Specific Large Language Model
https://github.com/aiwaves-cn/recurrentgpt
공식 코드RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text
https://github.com/aixcoder-plugin/aixcoder-7b
공식 코드aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing
https://github.com/ajesujoba/UNIQORN
공식 코드UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Text
https://github.com/akalino/semantic-structural-sentences
공식 코드A Comparative Study on Structural and Semantic Properties of Sentence Embeddings
https://github.com/akirato/llm-kg-reasoning
공식 코드Complex Logical Reasoning over Knowledge Graphs using Large Language Models
https://github.com/akirato/perm-gaussiankg
공식 코드Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs
https://github.com/akmeunier/eegchat
공식 코드https://github.com/akreal/bloomzmms
공식 코드https://github.com/akshay140601/query2cad
공식 코드Query2CAD: Generating CAD models using natural language queries
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.