Navigate
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/plurai-ai/intellagent
공식 코드IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems
https://github.com/poloclub/wizmap
공식 코드WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings
https://github.com/praznat/annotationmodeling
공식 코드https://github.com/prbonn/4dmos
공식 코드Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions
https://github.com/princeton-nlp/WebShop
공식 코드WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
https://github.com/proved-py/proved-core
공식 코드PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data
https://github.com/pseeth/otoworld
공식 코드https://github.com/pujari-rajkumar/cultural-schema-naacl2025
공식 코드LLM-Human Pipeline for Cultural Context Grounding of Conversations
https://github.com/pxiangwu/MotionNet
공식 코드Joint Perception and Prediction for Autonomous Driving: A Survey
https://github.com/pytorch/rl
공식 코드RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
https://github.com/qi-pang/llm-watermark-attacks
공식 코드No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices
https://github.com/quangpham2006/SmallPlan
공식 코드https://github.com/quantingxie/reasonedexplorer
공식 코드Reasoning about the Unseen for Efficient Outdoor Object Navigation
https://github.com/quester-one/awesome-llm-planning
공식 코드Large Language Models for Planning: A Comprehensive and Systematic Survey
https://github.com/qurrent-ai/res-q
공식 코드RES-Q: Evaluating Code-Editing Large Language Model Systems at the Repository Scale
https://github.com/r-drummond/convex-nn-synthesis-1norm
공식 코드Convex neural network synthesis for robustness in the 1-norm
https://github.com/rahul13ramesh/SuccessorOptions
공식 코드Successor Options: An Option Discovery Framework for Reinforcement Learning
https://github.com/raise-lab/soc-nav-training
공식 코드Improving Generalization in Reinforcement Learning Training Regimes for Social Robot Navigation
https://github.com/rajatkoner08/Graphhopper
공식 코드Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering
https://github.com/rasahq/tod-in-context-learning
공식 코드https://github.com/ravenkiller/mla
공식 코드https://github.com/ravikt/gril
공식 코드Imitation Learning with Human Eye Gaze via Multi-Objective Prediction
https://github.com/ravindu-yasas-nagasinghe/kepp
공식 코드Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos
https://github.com/rcheng805/robust_cbf
공식 코드Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties
https://github.com/redsofa/unsupervised-online-regression
공식 코드A Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data Streams
https://github.com/ricommunity/tap
공식 코드https://github.com/rl-lang-grounding/rl-lang-ground
공식 코드Attention Based Natural Language Grounding by Navigating Virtual Environment
https://github.com/robbycostales/hal
공식 코드Possibility Before Utility: Learning And Using Hierarchical Affordances
https://github.com/robin-karlsson0/dslp
공식 코드Learning to Predict Navigational Patterns from Partial Observations
https://github.com/robot-learning-freiburg/Dav-Nav
공식 코드Catch Me If You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments with Moving Sounds
https://github.com/robot-learning-freiburg/mobile-rl
공식 코드https://github.com/robotixx/multimodal-fusion-network
공식 코드A Study on Learning Social Robot Navigation with Multimodal Perception
https://github.com/rogerxcn/lunar_lander_project
공식 코드Solving The Lunar Lander Problem under Uncertainty using Reinforcement Learning
https://github.com/rossqin/RQNet
공식 코드A Real-time Low-cost Artificial Intelligence System for Autonomous Spraying in Palm Plantations
https://github.com/rpartsey/pointgoal-navigation
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.