https://github.com/worldeditors/evolvingprnn
공식 코드Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning
Papers with Code 아카이브
Memorization
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/wumingqi/LLM-Math-Evaluation
공식 코드Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
https://github.com/wwh0411/knowledgesg
공식 코드KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server
https://github.com/xiaoyuluoit97/DeMem
공식 코드DeMem: Privacy-Enhanced Robust Adversarial Learning via De-Memorization
https://github.com/xpq-tech/code-llmedit
공식 코드https://github.com/xsshi2015/Self-paced-Resistance-Learning
공식 코드Self-paced Resistance Learning against Overfitting on Noisy Labels
https://github.com/xszheng2020/memorization
공식 코드https://github.com/xuandongzhao/crt
공식 코드https://github.com/xup5/MEGA
공식 코드https://github.com/xxlifelover/meta-gradient-augmentation
공식 코드Improving Generalization in Meta-Learning via Meta-Gradient Augmentation
https://github.com/yale-nlp/code-llm-contamination
공식 코드Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models
https://github.com/yihongdong/cdd-ted4llms
공식 코드https://github.com/yklochkov-bytedance/mt-unlearn
공식 코드https://github.com/yuxinwenrick/diffusion_memorization
공식 코드Detecting, Explaining, and Mitigating Memorization in Diffusion Models
https://github.com/yyy01/llmriskeval_rcc
공식 코드Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility
https://github.com/yyzeng43/ModelPred
공식 코드ModelPred: A Framework for Predicting Trained Model from Training Data
https://github.com/yzhhoward/prime
공식 코드Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series
https://github.com/zackschen/DMM
공식 코드Continual Referring Expression Comprehension via Dual Modular Memorization
https://github.com/zeensong/umm
공식 코드On the Generalization and Causal Explanation in Self-Supervised Learning
https://github.com/zeke-xie/artificial-neural-variability-for-deep-learning
공식 코드https://github.com/zhaisf/clid
공식 코드Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy
https://github.com/zhang-yu-wei/WikiDYK
공식 코드Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection
https://github.com/zhangxu0963/npc
공식 코드https://github.com/zhangxy-2019/Effective-Knowledge-Injection
공식 코드Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching
https://github.com/zhentingqi/scylla
공식 코드Quantifying Generalization Complexity for Large Language Models
https://github.com/zhentingwang/diagnosis
공식 코드DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
https://github.com/zhiqix/teach2eval
공식 코드Teach2Eval: An Indirect Evaluation Method for LLM by Judging How It Teaches
https://github.com/zhourunlong/CASCADE_public
공식 코드CASCADE Your Datasets for Cross-Mode Knowledge Retrieval of Language Models
https://github.com/zhyhan/transpar
공식 코드Learning Transferable Parameters for Unsupervised Domain Adaptation
https://github.com/zjunlp/PromptKG/tree/main/research/RetrievalRE
공식 코드Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning
https://github.com/zjunlp/PromptKG/tree/main/research/RetroPrompt
공식 코드Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
https://github.com/zjunlp/knn-kg
공식 코드Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings
https://github.com/zjunlp/promptkg
공식 코드Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
https://github.com/zorazrw/odex
공식 코드https://github.com/zzwjames/dpgba
공식 코드Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
https://github.com/2023-MindSpore-1/ms-code-14/tree/main/Wide_and_Deep
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.