https://github.com/mneuronico/griw-world-spatial-orientation-task
공식 코드From Text to Space: Mapping Abstract Spatial Models in LLMs during a Grid-World Navigation Task
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mnotgod96/AppAgent
공식 코드https://github.com/mohamedaghzal/llms-as-path-planners
공식 코드https://github.com/mohamednagymostafa/dfr-fastmot
공식 코드https://github.com/mohamednagymostafa/kitti-mot.bench-evals
공식 코드https://github.com/mrzihan/dynam3d
공식 코드Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation
https://github.com/mrzihan/gridmm
공식 코드https://github.com/mrzihan/hnr-vln
공식 코드Lookahead Exploration with Neural Radiance Representation for Continuous Vision-Language Navigation
https://github.com/mszuyx/mosts
공식 코드https://github.com/mthcom/hscore-dataset-pruning
공식 코드Automatic Pruning of Fine-tuning Datasets for Transformer-based Language Models
https://github.com/mugen-org/MUGEN_baseline
공식 코드MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration
https://github.com/mweiss17/SEVN
공식 코드Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments
https://github.com/mwydmuch/ViZDoom
공식 코드https://github.com/my-name-is-D/high_level_nav_planning
공식 코드https://github.com/nayanadasgupta/understanding_punishment_in_mas_with_rl
공식 코드https://github.com/neuralsentinel/culturalkaleidoscope
공식 코드Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models
https://github.com/newmanne/open_spiel
공식 코드Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning
https://github.com/nikeke19/safe-mult-rl
공식 코드A Multiplicative Value Function for Safe and Efficient Reinforcement Learning
https://github.com/nl2g/quaterly-arxiv
공식 코드NLLG Quarterly arXiv Report 09/23: What are the most influential current AI Papers?
https://github.com/nubot-nudt/doss
공식 코드A Novel Decomposed Feature-Oriented Framework for Open-Set Semantic Segmentation on LiDAR Data
https://github.com/numenta/htmpapers/tree/master/bmvc/grid_cell_path_integration_for_movement_based_visual_object_recognition
공식 코드Grid Cell Path Integration For Movement-Based Visual Object Recognition
https://github.com/omhall/collaborativeart
공식 코드Collaborative Interactive Evolution of Art in the Latent Space of Deep Generative Models
https://github.com/onlytailei/gym_ped_sim
공식 코드https://github.com/opengvlab/gitm
공식 코드https://github.com/opengvlab/gui-odyssey
공식 코드GUI Odyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices
https://github.com/optsuite/o2o
공식 코드https://github.com/oravus/lostX
공식 코드LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics
https://github.com/oxfordhcc/solid-dtou
공식 코드https://github.com/palaashagrawal/llmgraphtraversal
공식 코드https://github.com/panshark/pirl-win
공식 코드https://github.com/patzhuang/lsa
공식 코드https://github.com/peihaochen/ws-mgmap
공식 코드Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation
https://github.com/petrosgk/AudioRL
공식 코드A Deep Reinforcement Learning Approach to Audio-Based Navigation in a Multi-Speaker Environment
https://github.com/peustr/wt-pgd
공식 코드Attacking Adversarial Defences by Smoothing the Loss Landscape
https://github.com/pic4ser/agriseg
공식 코드Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge Distillation
https://github.com/pku-dair/hetu-galvatron
공식 코드Improving Automatic Parallel Training via Balanced Memory Workload Optimization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.