Enhancing LLM Knowledge Learning through Generalization
Fuente:
arXiv
Saved in:
| Main Authors: | Zhu, Mingkang, Chen, Xi, Wang, Zhongdao, Yu, Bei, Zhao, Hengshuang, Jia, Jiaya |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization
by: Zhu, Mingkang, et al.
Published: (2025)
by: Zhu, Mingkang, et al.
Published: (2025)
Stratified GRPO: Handling Structural Heterogeneity in Reinforcement Learning of LLM Search Agents
by: Zhu, Mingkang, et al.
Published: (2025)
by: Zhu, Mingkang, et al.
Published: (2025)
From Noisy Traces to Stable Gradients: Bias-Variance Optimized Preference Optimization for Aligning Large Reasoning Models
by: Zhu, Mingkang, et al.
Published: (2025)
by: Zhu, Mingkang, et al.
Published: (2025)
LogoSticker: Inserting Logos into Diffusion Models for Customized Generation
by: Zhu, Mingkang, et al.
Published: (2024)
by: Zhu, Mingkang, et al.
Published: (2024)
Modular Customization of Diffusion Models via Blockwise-Parameterized Low-Rank Adaptation
by: Zhu, Mingkang, et al.
Published: (2025)
by: Zhu, Mingkang, et al.
Published: (2025)
VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning
by: Yang, Senqiao, et al.
Published: (2025)
by: Yang, Senqiao, et al.
Published: (2025)
Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning
by: Zhang, Xichen, et al.
Published: (2025)
by: Zhang, Xichen, et al.
Published: (2025)
SmartSwitch: Advancing LLM Reasoning by Overcoming Underthinking via Promoting Deeper Thought Exploration
by: Zhang, Xichen, et al.
Published: (2025)
by: Zhang, Xichen, et al.
Published: (2025)
VisionZip: Longer is Better but Not Necessary in Vision Language Models
by: Yang, Senqiao, et al.
Published: (2024)
by: Yang, Senqiao, et al.
Published: (2024)
Enhancing LLM Reliability via Explicit Knowledge Boundary Modeling
by: Zheng, Hang, et al.
Published: (2025)
by: Zheng, Hang, et al.
Published: (2025)
Enhancing Efficiency and Exploration in Reinforcement Learning for LLMs
by: Liao, Mengqi, et al.
Published: (2025)
by: Liao, Mengqi, et al.
Published: (2025)
Reinforcement Learning-based Knowledge Distillation with LLM-as-a-Judge
by: Shen, Yiyang, et al.
Published: (2026)
by: Shen, Yiyang, et al.
Published: (2026)
Generalizing Reward Modeling for Out-of-Distribution Preference Learning
by: Jia, Chen
Published: (2024)
by: Jia, Chen
Published: (2024)
DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection
by: Yu, Xiao, et al.
Published: (2023)
by: Yu, Xiao, et al.
Published: (2023)
LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
by: Zhu, Xi, et al.
Published: (2025)
by: Zhu, Xi, et al.
Published: (2025)
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
by: Lai, Xin, et al.
Published: (2024)
by: Lai, Xin, et al.
Published: (2024)
Logical Structure as Knowledge: Enhancing LLM Reasoning via Structured Logical Knowledge Density Estimation
by: Bi, Zhen, et al.
Published: (2025)
by: Bi, Zhen, et al.
Published: (2025)
Knowledge Graph-Assisted LLM Post-Training for Enhanced Legal Reasoning
by: Song, Dezhao, et al.
Published: (2026)
by: Song, Dezhao, et al.
Published: (2026)
Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data
by: Wu, Xue, et al.
Published: (2024)
by: Wu, Xue, et al.
Published: (2024)
VerifierQ: Enhancing LLM Test Time Compute with Q-Learning-based Verifiers
by: Qi, Jianing, et al.
Published: (2024)
by: Qi, Jianing, et al.
Published: (2024)
Enhancing LLM Tool Use with High-quality Instruction Data from Knowledge Graph
by: Wang, Jingwei, et al.
Published: (2025)
by: Wang, Jingwei, et al.
Published: (2025)
From Selection to Generation: A Survey of LLM-based Active Learning
by: Xia, Yu, et al.
Published: (2025)
by: Xia, Yu, et al.
Published: (2025)
Generative Adversarial Reasoner: Enhancing LLM Reasoning with Adversarial Reinforcement Learning
by: Liu, Qihao, et al.
Published: (2025)
by: Liu, Qihao, et al.
Published: (2025)
Deep Learning-based Method for Expressing Knowledge Boundary of Black-Box LLM
by: Sheng, Haotian, et al.
Published: (2026)
by: Sheng, Haotian, et al.
Published: (2026)
MoreauPruner: Robust Pruning of Large Language Models against Weight Perturbations
by: Wang, Zixiao, et al.
Published: (2024)
by: Wang, Zixiao, et al.
Published: (2024)
CuriousLLM: Elevating Multi-Document Question Answering with LLM-Enhanced Knowledge Graph Reasoning
by: Yang, Zukang, et al.
Published: (2024)
by: Yang, Zukang, et al.
Published: (2024)
QET: Enhancing Quantized LLM Parameters and KV cache Compression through Element Substitution and Residual Clustering
by: Wang, Yanshu, et al.
Published: (2024)
by: Wang, Yanshu, et al.
Published: (2024)
CAPO: Towards Enhancing LLM Reasoning through Generative Credit Assignment
by: Xie, Guofu, et al.
Published: (2025)
by: Xie, Guofu, et al.
Published: (2025)
Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
by: Liu, Haochen, et al.
Published: (2025)
by: Liu, Haochen, et al.
Published: (2025)
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models
by: He, Jinghan, et al.
Published: (2024)
by: He, Jinghan, et al.
Published: (2024)
KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation
by: Luo, Xindi, et al.
Published: (2024)
by: Luo, Xindi, et al.
Published: (2024)
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
by: Chen, Yukang, et al.
Published: (2023)
by: Chen, Yukang, et al.
Published: (2023)
EpilepsyLLM: Domain-Specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge
by: Zhao, Xuyang, et al.
Published: (2024)
by: Zhao, Xuyang, et al.
Published: (2024)
Learn-to-learn on Arbitrary Textual Conditioning: A Hypernetwork-Driven Meta-Gated LLM
by: Ji, Luo, et al.
Published: (2026)
by: Ji, Luo, et al.
Published: (2026)
A General Framework to Enhance Fine-tuning-based LLM Unlearning
by: Ren, Jie, et al.
Published: (2025)
by: Ren, Jie, et al.
Published: (2025)
DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training
by: Wang, Zhenting, et al.
Published: (2025)
by: Wang, Zhenting, et al.
Published: (2025)
MagicPIG: LSH Sampling for Efficient LLM Generation
by: Chen, Zhuoming, et al.
Published: (2024)
by: Chen, Zhuoming, et al.
Published: (2024)
BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation
by: Jia, Chengxing, et al.
Published: (2024)
by: Jia, Chengxing, et al.
Published: (2024)
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
by: Yu, Qiying, et al.
Published: (2025)
by: Yu, Qiying, et al.
Published: (2025)
Improving LLM's Attachment to External Knowledge In Dialogue Generation Tasks Through Entity Anonymization
by: Sheikhi, Hadi, et al.
Published: (2025)
by: Sheikhi, Hadi, et al.
Published: (2025)
Similar Items
-
TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization
by: Zhu, Mingkang, et al.
Published: (2025) -
Stratified GRPO: Handling Structural Heterogeneity in Reinforcement Learning of LLM Search Agents
by: Zhu, Mingkang, et al.
Published: (2025) -
From Noisy Traces to Stable Gradients: Bias-Variance Optimized Preference Optimization for Aligning Large Reasoning Models
by: Zhu, Mingkang, et al.
Published: (2025) -
LogoSticker: Inserting Logos into Diffusion Models for Customized Generation
by: Zhu, Mingkang, et al.
Published: (2024) -
Modular Customization of Diffusion Models via Blockwise-Parameterized Low-Rank Adaptation
by: Zhu, Mingkang, et al.
Published: (2025)