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Memorization
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests
Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
Entropy-Memorization Law: Evaluating Memorization Difficulty of Data in LLMs
MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI
Listener-Rewarded Thinking in VLMs for Image Preferences
Where to find Grokking in LLM Pretraining? Monitor Memorization-to-Generalization without Test
Counterfactual Influence as a Distributional Quantity
Uncovering Conceptual Blindspots in Generative Image Models Using Sparse Autoencoders
Robots and Children that Learn Together : Improving Knowledge Retention by Teaching Peer-Like Interactive Robots
A Random Matrix Analysis of In-context Memorization for Nonlinear Attention
In-Context Learning Strategies Emerge Rationally
Less is More: Undertraining Experts Improves Model Upcycling
Dataset distillation for memorized data: Soft labels can leak held-out teacher knowledge
LexiMark: Robust Watermarking via Lexical Substitutions to Enhance Membership Verification of an LLM's Textual Training Data
Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data
Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning
Sharpness-Aware Machine Unlearning
The SWE-Bench Illusion: When State-of-the-Art LLMs Remember Instead of Reason
Restoring Gaussian Blurred Face Images for Deanonymization Attacks
Diffusion models under low-noise regime
SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark
HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization
Generative Modeling of Weights: Generalization or Memorization?
Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models
Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models
Membership Inference Attacks on Sequence Models
Quantifying Cross-Modality Memorization in Vision-Language Models
Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing
Trade-offs in Data Memorization via Strong Data Processing Inequalities
How much do language models memorize?
MathArena: Evaluating LLMs on Uncontaminated Math Competitions
How does Transformer Learn Implicit Reasoning?
Bayesian Perspective on Memorization and Reconstruction
Navigating the Latent Space Dynamics of Neural Models
Kernel-Smoothed Scores for Denoising Diffusion: A Bias-Variance Study
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