Saved in:
| Main Authors: | Zhang, Lanxue, Xie, Yuqiang, Fang, Fang, Dong, Fanglong, Liu, Rui, Cao, Yanan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.12113 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
by: Liu, Shih-Yang, et al.
Published: (2026)
by: Liu, Shih-Yang, et al.
Published: (2026)
Revisiting Catastrophic Forgetting in Large Language Model Tuning
by: Li, Hongyu, et al.
Published: (2024)
by: Li, Hongyu, et al.
Published: (2024)
Revisiting Catastrophic Forgetting in Continual Knowledge Graph Embedding
by: Pons, Gerard, et al.
Published: (2026)
by: Pons, Gerard, et al.
Published: (2026)
How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization
by: Song, Shezheng, et al.
Published: (2025)
by: Song, Shezheng, et al.
Published: (2025)
GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets
by: Kwon, Oh Joon, et al.
Published: (2024)
by: Kwon, Oh Joon, et al.
Published: (2024)
Can LLMs Alleviate Catastrophic Forgetting in Graph Continual Learning? A Systematic Study
by: Cheng, Ziyang, et al.
Published: (2025)
by: Cheng, Ziyang, et al.
Published: (2025)
Keep the General, Inject the Specific: Structured Dialogue Fine-Tuning for Knowledge Injection without Catastrophic Forgetting
by: Hong, Yijie, et al.
Published: (2025)
by: Hong, Yijie, et al.
Published: (2025)
Catastrophic Forgetting in Kolmogorov-Arnold Networks
by: Rahman, Mohammad Marufur, et al.
Published: (2025)
by: Rahman, Mohammad Marufur, et al.
Published: (2025)
CORE: Mitigating Catastrophic Forgetting in Continual Learning through Cognitive Replay
by: Zhang, Jianshu, et al.
Published: (2024)
by: Zhang, Jianshu, et al.
Published: (2024)
Sequencing to Mitigate Catastrophic Forgetting in Continual Learning
by: Moussa, Hesham G., et al.
Published: (2025)
by: Moussa, Hesham G., et al.
Published: (2025)
Stable Preference Optimization: A Bilevel Approach to Catastrophic Preference Shift
by: Jian, Chengtao, et al.
Published: (2025)
by: Jian, Chengtao, et al.
Published: (2025)
Continual Learning and Catastrophic Forgetting
by: van de Ven, Gido M., et al.
Published: (2024)
by: van de Ven, Gido M., et al.
Published: (2024)
Evolutionary Strategies lead to Catastrophic Forgetting in LLMs
by: Abdi, Immanuel, et al.
Published: (2026)
by: Abdi, Immanuel, et al.
Published: (2026)
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
by: Elsayed, Mohamed, et al.
Published: (2024)
by: Elsayed, Mohamed, et al.
Published: (2024)
Quantifying Catastrophic Forgetting in IoT Intrusion Detection Systems
by: Banerjee, Sourasekhar, et al.
Published: (2026)
by: Banerjee, Sourasekhar, et al.
Published: (2026)
A Conformal Predictive Measure for Assessing Catastrophic Forgetting
by: Pitsiorlas, Ioannis, et al.
Published: (2025)
by: Pitsiorlas, Ioannis, et al.
Published: (2025)
On the Implicit Adversariality of Catastrophic Forgetting in Deep Continual Learning
by: Peng, Ze, et al.
Published: (2025)
by: Peng, Ze, et al.
Published: (2025)
CoT2-Meta: Budgeted Metacognitive Control for Test-Time Reasoning
by: Ma, Siyuan, et al.
Published: (2026)
by: Ma, Siyuan, et al.
Published: (2026)
Meta-R1: Empowering Large Reasoning Models with Metacognition
by: Dong, Haonan, et al.
Published: (2025)
by: Dong, Haonan, et al.
Published: (2025)
MAD-Fact: A Multi-Agent Debate Framework for Long-Form Factuality Evaluation in LLMs
by: Ning, Yucheng, et al.
Published: (2025)
by: Ning, Yucheng, et al.
Published: (2025)
Explaining Robustness to Catastrophic Forgetting Through Incremental Concept Formation
by: Barari, Nicki, et al.
Published: (2025)
by: Barari, Nicki, et al.
Published: (2025)
Catastrophic Forgetting Mitigation Through Plateau Phase Activity Profiling
by: Mashiach, Idan, et al.
Published: (2025)
by: Mashiach, Idan, et al.
Published: (2025)
Model Editing at Scale leads to Gradual and Catastrophic Forgetting
by: Gupta, Akshat, et al.
Published: (2024)
by: Gupta, Akshat, et al.
Published: (2024)
Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
by: Ren, Weijieying, et al.
Published: (2024)
by: Ren, Weijieying, et al.
Published: (2024)
Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations
by: Liu, Yilong, et al.
Published: (2026)
by: Liu, Yilong, et al.
Published: (2026)
MoE-CT: A Novel Approach For Large Language Models Training With Resistance To Catastrophic Forgetting
by: Li, Tianhao, et al.
Published: (2024)
by: Li, Tianhao, et al.
Published: (2024)
Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning
by: Zhang, Ruiqi, et al.
Published: (2024)
by: Zhang, Ruiqi, et al.
Published: (2024)
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks
by: Zhao, Zhe, et al.
Published: (2024)
by: Zhao, Zhe, et al.
Published: (2024)
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal
by: Huang, Jianheng, et al.
Published: (2024)
by: Huang, Jianheng, et al.
Published: (2024)
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System
by: Chen, Chen, et al.
Published: (2024)
by: Chen, Chen, et al.
Published: (2024)
Gradient Correlation Subspace Learning against Catastrophic Forgetting
by: Dubnov, Tammuz, et al.
Published: (2024)
by: Dubnov, Tammuz, et al.
Published: (2024)
Intelligent Learning Rate Distribution to reduce Catastrophic Forgetting in Transformers
by: Kenneweg, Philip, et al.
Published: (2024)
by: Kenneweg, Philip, et al.
Published: (2024)
DeMansia: Mamba Never Forgets Any Tokens
by: Fang, Ricky
Published: (2024)
by: Fang, Ricky
Published: (2024)
Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning
by: Yang, Wei, et al.
Published: (2026)
by: Yang, Wei, et al.
Published: (2026)
Token-Importance Guided Direct Preference Optimization
by: Yang, Ning, et al.
Published: (2025)
by: Yang, Ning, et al.
Published: (2025)
Knowledge-Centric Metacognitive Learning
by: Kumar, Arun, et al.
Published: (2024)
by: Kumar, Arun, et al.
Published: (2024)
VAGPO: Vision-augmented Asymmetric Group Preference Optimization for Graph Routing Problems
by: Liu, Shiyan, et al.
Published: (2025)
by: Liu, Shiyan, et al.
Published: (2025)
BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning
by: Liu, Yi, et al.
Published: (2024)
by: Liu, Yi, et al.
Published: (2024)
Autoregressive Direct Preference Optimization
by: Oi, Masanari, et al.
Published: (2026)
by: Oi, Masanari, et al.
Published: (2026)
Can Similarity-Based Domain-Ordering Reduce Catastrophic Forgetting for Intent Recognition?
by: Mannekote, Amogh, et al.
Published: (2024)
by: Mannekote, Amogh, et al.
Published: (2024)
Similar Items
-
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
by: Liu, Shih-Yang, et al.
Published: (2026) -
Revisiting Catastrophic Forgetting in Large Language Model Tuning
by: Li, Hongyu, et al.
Published: (2024) -
Revisiting Catastrophic Forgetting in Continual Knowledge Graph Embedding
by: Pons, Gerard, et al.
Published: (2026) -
How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization
by: Song, Shezheng, et al.
Published: (2025) -
GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets
by: Kwon, Oh Joon, et al.
Published: (2024)