Zero-shot Generalization
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ninglab/gellmo
공식 코드GeLLMO: Generalizing Large Language Models for Multi-property Molecule Optimization
https://github.com/nitkannen/backgprop-aaai-22
공식 코드https://github.com/nju-rl/meta-dt
공식 코드Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
https://github.com/nttmdlab-nlp/instructdoc
공식 코드https://github.com/openbmb/toolbench
공식 코드ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
https://github.com/openbmb/workflowllm
공식 코드WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
https://github.com/openmatch/augmentation-adapted-retriever
공식 코드Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In
https://github.com/panshark/pirl-win
공식 코드https://github.com/pku-rl/copl
공식 코드Visual Grounding for Object-Level Generalization in Reinforcement Learning
https://github.com/pluslabnlp/active-it
공식 코드Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks
https://github.com/princeton-nlp/made
공식 코드https://github.com/princeton-nlp/semsup
공식 코드SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization
https://github.com/princeton-vl/waft
공식 코드https://github.com/prs-eth/marigold
공식 코드Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
https://github.com/purdueminds/isdea
공식 코드Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types
https://github.com/pyjulie/medical-vlms-ood-detection
공식 코드Delving into Out-of-Distribution Detection with Medical Vision-Language Models
https://github.com/r-three/phatgoose
공식 코드Learning to Route Among Specialized Experts for Zero-Shot Generalization
https://github.com/rafa-zy/ud
공식 코드https://github.com/rainmaker22/SMART
공식 코드SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction
https://github.com/razaimam45/ttl-test-time-low-rank-adaptation
공식 코드https://github.com/rl-lang-grounding/rl-lang-ground
공식 코드Attention Based Natural Language Grounding by Navigating Virtual Environment
https://github.com/robbycostales/diva
공식 코드Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity
https://github.com/robustsam/RobustSAM
공식 코드https://github.com/rongakowang/fresa
공식 코드FRESA:Feedforward Reconstruction of Personalized Skinned Avatars from Few Images
https://github.com/royalskye/routing-mvmoe
공식 코드MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
https://github.com/rucaibox/comvint
공식 코드https://github.com/ruili3/Know-Your-Neighbors
공식 코드Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning
https://github.com/ryh1218/occ
공식 코드Prohibited Items Segmentation via Occlusion-aware Bilayer Modeling
https://github.com/saharsamr/modular-llm
공식 코드GenKnowSub: Improving Modularity and Reusability of LLMs through General Knowledge Subtraction
https://github.com/sai-prasanna/dreaming_of_many_worlds
공식 코드Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization
https://github.com/sail-sg/symbolic-instruction-tuning
공식 코드From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning
https://github.com/salesforce/lavis
공식 코드From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models
https://github.com/salesforce/rng-kbqa
공식 코드RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering
https://github.com/samsunglabs/swissdino
공식 코드Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search
https://github.com/seonghyeonye/icil
공식 코드Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.