Logical Reasoning
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/IDEA-FinAI/Simple-HHEA
공식 코드https://github.com/INK-USC/RE-Net
공식 코드Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs
https://github.com/IST-DASLab/ScalableMNN
공식 코드Scalable Mechanistic Neural Networks for Differential Equations and Machine Learning
https://github.com/ImTanay/LLM-Automatic-Ontology-Generation
공식 코드https://github.com/IntelLabs/baa-ngp
공식 코드BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives
https://github.com/JNY-Wang/ChatGPT-processed-representations
공식 코드Empowering Few-Shot Recommender Systems with Large Language Models -- Enhanced Representations
https://github.com/Jackline97/SV-TrustEval-C
공식 코드https://github.com/JacobPfau/procgenAISC
공식 코드https://github.com/Jaraxxus-Me/LogiCity
공식 코드LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
https://github.com/JinnnK/BNBRLplus
공식 코드Belief Aided Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind Spots
https://github.com/KareemYousrii/SPL
공식 코드https://github.com/KevinEloff/rl-collaborative-communication
공식 코드https://github.com/Kthyeon/ssfod
공식 코드Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection
https://github.com/KuoHaoZeng/Interactive_Visual_Navigation
공식 코드https://github.com/KupynOrest/DeblurGANv2
공식 코드DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
https://github.com/Kyubyong/sudoku
공식 코드SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver
https://github.com/LHY-24/KG-Compilation
공식 코드https://github.com/LUMII-Syslab/Matrix-SE
공식 코드https://github.com/LUMII-Syslab/Switchblade
공식 코드https://github.com/Li-ChangHao/CoNav
공식 코드CoNav: A Benchmark for Human-Centered Collaborative Navigation
https://github.com/Lim-Sangho/SymSATNet
공식 코드https://github.com/LinXueyuanStdio/FLEX
공식 코드FLEX: Feature-Logic Embedding Framework for CompleX Knowledge Graph Reasoning
https://github.com/LorenzoBini4/Attention-LeukoGraph
공식 코드https://github.com/MAPLLM/MAPICLR2025sub
공식 코드Improving Planning with Large Language Models: A Modular Agentic Architecture
https://github.com/METR/eval-analysis-public
공식 코드https://github.com/MIFA-Lab/SAFE
공식 코드SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models
https://github.com/MMMU-Benchmark/MMMU
공식 코드MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
https://github.com/MPC-Dynamic/Growth
공식 코드Modeling the Dynamics of Growth in Master-Planned Communities
https://github.com/MSA-LMC/CDGLT
공식 코드Concept Drift Guided LayerNorm Tuning for Efficient Multimodal Metaphor Identification
https://github.com/MarSaKi/NvEM
공식 코드Neighbor-view Enhanced Model for Vision and Language Navigation
https://github.com/MartinBraquet/vector-field-obstacle-avoidance
공식 코드Vector Field-based Collision Avoidance for Moving Obstacles with Time-Varying Elliptical Shape
https://github.com/MathiasThor/CPG-RBFN-framework
공식 코드Versatile modular neural locomotion control with fast learning
https://github.com/MichiganNLP/BeliefCongruenceSim
공식 코드https://github.com/Microsoft/Recognizers-Text
공식 코드https://github.com/MrShininnnnn/CECW
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.