Context-Free Synthetic Data Mitigates Forgetting
Fuente:
arXiv
Saved in:
| Main Authors: | Bansal, Parikshit, Sanghavi, Sujay |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enabling Approximate Joint Sampling in Diffusion LMs
by: Bansal, Parikshit, et al.
Published: (2025)
by: Bansal, Parikshit, et al.
Published: (2025)
Understanding Self-Supervised Learning via Gaussian Mixture Models
by: Bansal, Parikshit, et al.
Published: (2024)
by: Bansal, Parikshit, et al.
Published: (2024)
Understanding the Training Speedup from Sampling with Approximate Losses
by: Das, Rudrajit, et al.
Published: (2024)
by: Das, Rudrajit, et al.
Published: (2024)
Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting
by: Sanyal, Sunny, et al.
Published: (2025)
by: Sanyal, Sunny, et al.
Published: (2025)
Geometric Median (GM) Matching for Robust Data Pruning
by: Acharya, Anish, et al.
Published: (2024)
by: Acharya, Anish, et al.
Published: (2024)
Learning Mixtures of Experts with EM: A Mirror Descent Perspective
by: Fruytier, Quentin, et al.
Published: (2024)
by: Fruytier, Quentin, et al.
Published: (2024)
Geometric Median Matching for Robust k-Subset Selection from Noisy Data
by: Acharya, Anish, et al.
Published: (2025)
by: Acharya, Anish, et al.
Published: (2025)
Test-Time Speculation
by: Kumar, Avinash, et al.
Published: (2026)
by: Kumar, Avinash, et al.
Published: (2026)
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness
by: Collins, Liam, et al.
Published: (2024)
by: Collins, Liam, et al.
Published: (2024)
HiSpec: Hierarchical Speculative Decoding for LLMs
by: Kumar, Avinash, et al.
Published: (2025)
by: Kumar, Avinash, et al.
Published: (2025)
Blocking Bandits
by: Basu, Soumya, et al.
Published: (2019)
by: Basu, Soumya, et al.
Published: (2019)
Asymptotically-Optimal Gaussian Bandits with Side Observations
by: Atsidakou, Alexia, et al.
Published: (2025)
by: Atsidakou, Alexia, et al.
Published: (2025)
Finite-Time Logarithmic Bayes Regret Upper Bounds
by: Atsidakou, Alexia, et al.
Published: (2023)
by: Atsidakou, Alexia, et al.
Published: (2023)
Towards Quantifying the Preconditioning Effect of Adam
by: Das, Rudrajit, et al.
Published: (2024)
by: Das, Rudrajit, et al.
Published: (2024)
Mitigating Privacy Risk via Forget Set-Free Unlearning
by: Newatia, Aviraj, et al.
Published: (2026)
by: Newatia, Aviraj, et al.
Published: (2026)
Small LLMs with Expert Blocks Are Good Enough for Hyperparamter Tuning
by: Naphade, Om, et al.
Published: (2025)
by: Naphade, Om, et al.
Published: (2025)
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization
by: Jiang, Ruichen, et al.
Published: (2024)
by: Jiang, Ruichen, et al.
Published: (2024)
Time Weaver: A Conditional Time Series Generation Model
by: Narasimhan, Sai Shankar, et al.
Published: (2024)
by: Narasimhan, Sai Shankar, et al.
Published: (2024)
When Attention Collapses: How Degenerate Layers in LLMs Enable Smaller, Stronger Models
by: Sanyal, Sunny, et al.
Published: (2024)
by: Sanyal, Sunny, et al.
Published: (2024)
Entropy Aware Reward Guidance for Diffusion Language Model Alignment
by: Tejaswi, Atula, et al.
Published: (2026)
by: Tejaswi, Atula, et al.
Published: (2026)
Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting
by: Chen, Howard, et al.
Published: (2025)
by: Chen, Howard, et al.
Published: (2025)
Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning
by: Huang, Wei, et al.
Published: (2025)
by: Huang, Wei, et al.
Published: (2025)
Mitigating Forgetting in Low Rank Adaptation
by: Sliwa, Joanna, et al.
Published: (2025)
by: Sliwa, Joanna, et al.
Published: (2025)
Understanding Contrastive Representation Learning from Positive Unlabeled (PU) Data
by: Acharya, Anish, et al.
Published: (2024)
by: Acharya, Anish, et al.
Published: (2024)
Sculpting Latent Spaces With MMD: Disentanglement With Programmable Priors
by: Fruytier, Quentin, et al.
Published: (2025)
by: Fruytier, Quentin, et al.
Published: (2025)
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
by: Hou, Charlie, et al.
Published: (2023)
by: Hou, Charlie, et al.
Published: (2023)
Positive Unlabeled Contrastive Learning
by: Acharya, Anish, et al.
Published: (2022)
by: Acharya, Anish, et al.
Published: (2022)
Understanding Generalization and Forgetting in In-Context Continual Learning
by: Li, Guangyu, et al.
Published: (2026)
by: Li, Guangyu, et al.
Published: (2026)
From Edges to Depth: Probing the Spatial Hierarchy in Vision Transformers
by: Sanghavi, Jainum
Published: (2026)
by: Sanghavi, Jainum
Published: (2026)
Decoupled-Value Attention for Prior-Data Fitted Networks: GP Inference for Physical Equations
by: Sharma, Kaustubh, et al.
Published: (2025)
by: Sharma, Kaustubh, et al.
Published: (2025)
Sequencing to Mitigate Catastrophic Forgetting in Continual Learning
by: Moussa, Hesham G., et al.
Published: (2025)
by: Moussa, Hesham G., et al.
Published: (2025)
Sharpness-Aware Pretraining Mitigates Catastrophic Forgetting
by: Watts, Ishaan, et al.
Published: (2026)
by: Watts, Ishaan, et al.
Published: (2026)
Mitigating Catastrophic Forgetting in Language Transfer via Model Merging
by: Alexandrov, Anton, et al.
Published: (2024)
by: Alexandrov, Anton, et al.
Published: (2024)
InfoPO: On Mutual Information Maximization for Large Language Model Alignment
by: Xiao, Teng, et al.
Published: (2025)
by: Xiao, Teng, et al.
Published: (2025)
MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code Generation
by: Ekbote, Chanakya, et al.
Published: (2025)
by: Ekbote, Chanakya, et al.
Published: (2025)
Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills
by: Wang, Changsheng, et al.
Published: (2025)
by: Wang, Changsheng, et al.
Published: (2025)
Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning
by: Chen, Liang, et al.
Published: (2025)
by: Chen, Liang, et al.
Published: (2025)
MEGA: Second-Order Gradient Alignment for Catastrophic Forgetting Mitigation in GFSCIL
by: Pang, Jinhui, et al.
Published: (2025)
by: Pang, Jinhui, et al.
Published: (2025)
Mitigating Forgetting in Continual Learning with Selective Gradient Projection
by: Singh, Anika, et al.
Published: (2026)
by: Singh, Anika, et al.
Published: (2026)
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
by: Das, Rudrajit, et al.
Published: (2024)
by: Das, Rudrajit, et al.
Published: (2024)
Similar Items
-
Enabling Approximate Joint Sampling in Diffusion LMs
by: Bansal, Parikshit, et al.
Published: (2025) -
Understanding Self-Supervised Learning via Gaussian Mixture Models
by: Bansal, Parikshit, et al.
Published: (2024) -
Understanding the Training Speedup from Sampling with Approximate Losses
by: Das, Rudrajit, et al.
Published: (2024) -
Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting
by: Sanyal, Sunny, et al.
Published: (2025) -
Geometric Median (GM) Matching for Robust Data Pruning
by: Acharya, Anish, et al.
Published: (2024)