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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/xieyangxinyu/wildfiregpt

공식 코드

A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation

https://github.com/xieyc99/trainprove

공식 코드

Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?

https://github.com/xincanfeng/ms_kge

공식 코드

Model-based Subsampling for Knowledge Graph Completion

https://github.com/xingruiyu/GIRIL

공식 코드

Intrinsic Reward Driven Imitation Learning via Generative Model

https://github.com/xingyuqu/rethink-re-basin

공식 코드

Vanishing Feature: Diagnosing Model Merging and Beyond

https://github.com/xingyuqu/vf

공식 코드

Vanishing Feature: Diagnosing Model Merging and Beyond

https://github.com/xinleihe/gnnstealing

공식 코드

Model Stealing Attacks Against Inductive Graph Neural Networks

https://github.com/xinyu1205/Recognize_Anything-Tag2Text

공식 코드

Tag2Text: Guiding Vision-Language Model via Image Tagging

https://github.com/xinyu1205/recognize-anything

공식 코드

Tag2Text: Guiding Vision-Language Model via Image Tagging

https://github.com/xmubq/dtr-text

공식 코드

Causal Inference for Human-Language Model Collaboration

https://github.com/xo28/efficient-nlp-multistage-training

공식 코드

Efficient NLP Model Finetuning via Multistage Data Filtering

https://github.com/xpeng9719/defend_mi

공식 코드

Bilateral Dependency Optimization: Defending Against Model-inversion Attacks

https://github.com/xpq-tech/code-llmedit

공식 코드

Model Editing for LLMs4Code: How Far are We?

https://github.com/xpq-tech/pmet

공식 코드

PMET: Precise Model Editing in a Transformer

https://github.com/xuandongzhao/drw

공식 코드

Distillation-Resistant Watermarking for Model Protection in NLP

https://github.com/xunyoyo/YZS-Model

공식 코드

YZS-model: A Predictive Model for Organic Drug Solubility Based on Graph Convolutional Networks and Transformer-Attention

https://github.com/xydaisjtu/AICM

공식 코드

An Adversarial Imitation Click Model for Information Retrieval

https://github.com/xyliu339/osdd

공식 코드

One-Step Diffusion Model for Image Motion-Deblurring

https://github.com/xythink/same

공식 코드

SAME: Sample Reconstruction against Model Extraction Attacks

https://github.com/xyvivian/hyper

공식 코드

Fast Unsupervised Deep Outlier Model Selection with Hypernetworks

https://github.com/yajun-zhou/linguae-naturalis-principia-mathematica

공식 코드

A mathematical model for universal semantics

https://github.com/yamand16/exposurecorrection

공식 코드

Exposure Correction Model to Enhance Image Quality

https://github.com/yandachen/in-context-tuning

공식 코드

Meta-learning via Language Model In-context Tuning

https://github.com/yangjl1215/cosam

공식 코드

Continual Learning for Segment Anything Model Adaptation

https://github.com/yangliuy/HybridNCM

공식 코드

A Hybrid Retrieval-Generation Neural Conversation Model

https://github.com/yangyi-zhang/covid-forecasting

공식 코드

An Interpretable Hybrid Predictive Model of COVID-19 Cases using Autoregressive Model and LSTM

https://github.com/yangyifei729/laco

공식 코드

LaCo: Large Language Model Pruning via Layer Collapse

https://github.com/yanliang3612/diffrop

공식 코드

Training Class-Imbalanced Diffusion Model Via Overlap Optimization

https://github.com/yaochengtang/decnet

공식 코드

A Decomposition Model for Stereo Matching

https://github.com/yaochenzhu/llm4rec

공식 코드

Collaborative Large Language Model for Recommender Systems

https://github.com/yefanzhou/threeregimepruning

공식 코드

A Three-regime Model of Network Pruning

https://github.com/yeshaokai/Robustness-Aware-Pruning-ADMM

공식 코드

Adversarial Robustness vs Model Compression, or Both?

https://github.com/yfchen1994/teacher-fingerprinting

공식 코드

Teacher Model Fingerprinting Attacks Against Transfer Learning

https://github.com/yhydhx/samaug

공식 코드

SAMAug: Point Prompt Augmentation for Segment Anything Model

https://github.com/yifang-qin/diff-poi

공식 코드

A Diffusion model for POI recommendation

https://github.com/yimengli46/bellman_point_goal

공식 코드

Comparison of Model-Free and Model-Based Learning-Informed Planning for PointGoal Navigation

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