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Memorization

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

https://github.com/teddy-li/llm-nli-analysis

공식 코드

Sources of Hallucination by Large Language Models on Inference Tasks

https://github.com/thaihungle/SAM

공식 코드

Self-Attentive Associative Memory

https://github.com/thu-coai/targeted-data-extraction

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Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation

https://github.com/thudm/agenttuning

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AgentTuning: Enabling Generalized Agent Abilities for LLMs

https://github.com/thunlp/RE-Context-or-Names

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Learning from Context or Names? An Empirical Study on Neural Relation Extraction

https://github.com/tmllab/2024_iclr_dom

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On the Over-Memorization During Natural, Robust and Catastrophic Overfitting

https://github.com/tmllab/PES

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Understanding and Improving Early Stopping for Learning with Noisy Labels

https://github.com/tmlr-group/memorization-discrepancy

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Exploring Model Dynamics for Accumulative Poisoning Discovery

https://github.com/tomer-barak/learning-independent_abstract_reasoning

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Untrained neural networks can demonstrate memorization-independent abstract reasoning

https://github.com/towardsautonomy/meta_reg_by_enforcing_mutual_exclusiveness

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Meta-Regularization by Enforcing Mutual-Exclusiveness

https://github.com/tsinghua-fib-lab/neurips2024_spv-mia

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Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration

https://github.com/tsinghuac3i/sora

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Sparse Low-rank Adaptation of Pre-trained Language Models

https://github.com/tuneinsight/federated-llms

공식 코드

Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs

https://github.com/ucsc-real/cifar-10-100n

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Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations

https://github.com/ucsc-real/selfsup_noisylabel

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Mitigating Memorization of Noisy Labels via Regularization between Representations

https://github.com/uh-serg/ci-memorization

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Memorization and Generalization in Neural Code Intelligence Models

https://github.com/uhlerlab/neural_networks_associative_memory

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Overparameterized Neural Networks Implement Associative Memory

https://github.com/ukplab/arxiv2025-icl-investigation

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Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning

https://github.com/um-dacs-nlp/capacity

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Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data

https://github.com/uni-medical/gmai-vl-r1

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GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning

https://github.com/urvashik/knnlm

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Generalization through Memorization: Nearest Neighbor Language Models

https://github.com/usail-hkust/meta-pec

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A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation

https://github.com/vertaix/vendi-sampling

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Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning

https://github.com/vertaix/vendi-score

공식 코드

Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning

https://github.com/vickywu1022/ontoprobe-plms

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Do PLMs Know and Understand Ontological Knowledge?

https://github.com/vlgiitr/unmasking-the-veil

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Unmasking the Veil: An Investigation into Concept Ablation for Privacy and Copyright Protection in Images

https://github.com/vsamuel2003/data-contamination

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Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges

https://github.com/vyraun/finding-memo

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Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks

https://github.com/wangjingyi9924/tnlpad

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Tackling Noisy Labels with Network Parameter Additive Decomposition

https://github.com/wangyu-ustc/largescalewashing

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Large Scale Knowledge Washing

https://github.com/waste-wood/meanlearn

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Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance

https://github.com/we-math/we-math

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We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

https://github.com/whyjay/memoryGAN

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Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks

https://github.com/wjfu99/MIA-LLMs

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Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration

https://github.com/wjfu99/mia-gen

공식 코드

A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models

https://github.com/worldeditors/evolvingplasticann

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Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning

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