https://github.com/intellisensing/rs-agent
공식 코드RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent
Papers with Code 아카이브
Large Language Model
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/internlm/acmetrace
공식 코드Characterization of Large Language Model Development in the Datacenter
https://github.com/internlm/huixiangdou
공식 코드https://github.com/internlm/internlm-law
공식 코드InternLM-Law: An Open Source Chinese Legal Large Language Model
https://github.com/intitni/copilotforxcode
공식 코드Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot Framework
https://github.com/intuit-ai-research/knowledge-infused-ai/tree/main/synthetic-knowledge-ingestion
공식 코드https://github.com/invictus717/MiCo
공식 코드https://github.com/ioannis-papadimitriou/rag-playground
공식 코드https://github.com/ipouyall/can-llms-be-lateral-thinkers
공식 코드uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?
https://github.com/iqvianlp/llm-onto-infuse
공식 코드Towards Ontology-Enhanced Representation Learning for Large Language Models
https://github.com/iqvianlp/ontologyrag
공식 코드https://github.com/irenamal/ec-kity
공식 코드https://github.com/irenezihuili/graphusion
공식 코드Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective
https://github.com/irgroup/suir
공식 코드Context-Driven Interactive Query Simulations Based on Generative Large Language Models
https://github.com/irlabamsterdam/cone-rag
공식 코드Conversational Gold: Evaluating Personalized Conversational Search System using Gold Nuggets
https://github.com/isaacwasserman/LongRAG
공식 코드Enhancing Retrieval in QA Systems with Derived Feature Association
https://github.com/isabellelorge/dtd
공식 코드https://github.com/ise-uet-vnu/rambo
공식 코드RAMBO: Enhancing RAG-based Repository-Level Method Body Completion
https://github.com/isee-laboratory/llmdet
공식 코드https://github.com/isen-zhang/aclue
공식 코드Can Large Language Model Comprehend Ancient Chinese? A Preliminary Test on ACLUE
https://github.com/isitnavajo/NavajoDetector
공식 코드Is It Navajo? Accurate Language Detection in Endangered Athabaskan Languages
https://github.com/ist-daslab/panzamail
공식 코드Panza: Design and Analysis of a Fully-Local Personalized Text Writing Assistant
https://github.com/istarryn/dllm2rec
공식 코드https://github.com/iu-aes-ai4code/codequestionanswering
공식 코드Leveraging Large Language Models in Code Question Answering: Baselines and Issues
https://github.com/ivanbravi/ShadowingAgentForGVGAI
공식 코드Shallow decision-making analysis in General Video Game Playing
https://github.com/izhx/uni-rep
공식 코드https://github.com/jackingchen/reason_augment_ad_detect
공식 코드https://github.com/jacobyhsi/InterpreTabNet
공식 코드InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation
https://github.com/jaidoshi/knowledge-erasure
공식 코드Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods
https://github.com/jamespark3922/localized-skd
공식 코드Localized Symbolic Knowledge Distillation for Visual Commonsense Models
https://github.com/jamespark3922/lskd
공식 코드Localized Symbolic Knowledge Distillation for Visual Commonsense Models
https://github.com/jamesyjl/shapellm-omni
공식 코드ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding
https://github.com/jangerritha/CycleIK
공식 코드Inverse Kinematics for Neuro-Robotic Grasping with Humanoid Embodied Agents
https://github.com/jasaxion/irsc_benchmark
공식 코드https://github.com/jasonyux/gdpzero
공식 코드Prompt-Based Monte-Carlo Tree Search for Goal-Oriented Dialogue Policy Planning
https://github.com/jasonzhangzy1757/diet-odin
공식 코드Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.