Saved in:
| Main Authors: | Meng, Xiandong, Wu, Yan, Tian, Yexin, Hu, Xin, Kang, Tianze, Du, Junliang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.15198 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Knowledge Graph-Infused Fine-Tuning for Structured Reasoning in Large Language Models
by: Zhang, Wuyang, et al.
Published: (2025)
by: Zhang, Wuyang, et al.
Published: (2025)
LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language Models
by: Yang, Runming, et al.
Published: (2024)
by: Yang, Runming, et al.
Published: (2024)
Word Segmentation for Asian Languages: Chinese, Korean, and Japanese
by: Rho, Matthew, et al.
Published: (2024)
by: Rho, Matthew, et al.
Published: (2024)
Source-Modality Monitoring in Vision-Language Models
by: Hua, Etha Tianze, et al.
Published: (2026)
by: Hua, Etha Tianze, et al.
Published: (2026)
Large Language Models Explore by Latent Distilling
by: Zeng, Yuanhao, et al.
Published: (2026)
by: Zeng, Yuanhao, et al.
Published: (2026)
Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction
by: Xu, Ting, et al.
Published: (2025)
by: Xu, Ting, et al.
Published: (2025)
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
by: Tan, Zhaoxuan, et al.
Published: (2024)
by: Tan, Zhaoxuan, et al.
Published: (2024)
How Do Vision-Language Models Process Conflicting Information Across Modalities?
by: Hua, Tianze, et al.
Published: (2025)
by: Hua, Tianze, et al.
Published: (2025)
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
by: Liao, Huanxuan, et al.
Published: (2024)
by: Liao, Huanxuan, et al.
Published: (2024)
Can Large Language Models Match Tutoring System Adaptivity? A Benchmarking Study
by: Borchers, Conrad, et al.
Published: (2025)
by: Borchers, Conrad, et al.
Published: (2025)
Benchmarking Gaslighting Attacks Against Speech Large Language Models
by: Wu, Jinyang, et al.
Published: (2025)
by: Wu, Jinyang, et al.
Published: (2025)
Dynamic Prompt Fusion for Multi-Task and Cross-Domain Adaptation in LLMs
by: Hu, Xin, et al.
Published: (2025)
by: Hu, Xin, et al.
Published: (2025)
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts
by: Tan, Zhaoxuan, et al.
Published: (2024)
by: Tan, Zhaoxuan, et al.
Published: (2024)
mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models?
by: Hua, Tianze, et al.
Published: (2024)
by: Hua, Tianze, et al.
Published: (2024)
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
by: Yang, Ge, et al.
Published: (2024)
by: Yang, Ge, et al.
Published: (2024)
Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents
by: He, Chengbo, et al.
Published: (2024)
by: He, Chengbo, et al.
Published: (2024)
Evolving Knowledge Distillation with Large Language Models and Active Learning
by: Liu, Chengyuan, et al.
Published: (2024)
by: Liu, Chengyuan, et al.
Published: (2024)
Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences
by: Liu, Xiangyang, et al.
Published: (2025)
by: Liu, Xiangyang, et al.
Published: (2025)
Quantification of Large Language Model Distillation
by: Lee, Sunbowen, et al.
Published: (2025)
by: Lee, Sunbowen, et al.
Published: (2025)
DDK: Distilling Domain Knowledge for Efficient Large Language Models
by: Liu, Jiaheng, et al.
Published: (2024)
by: Liu, Jiaheng, et al.
Published: (2024)
Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies
by: Han, Xu, et al.
Published: (2025)
by: Han, Xu, et al.
Published: (2025)
Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models
by: Liu, Weize, et al.
Published: (2023)
by: Liu, Weize, et al.
Published: (2023)
Mitigating Misleading Chain-of-Thought Reasoning with Selective Filtering
by: Wu, Yexin, et al.
Published: (2024)
by: Wu, Yexin, et al.
Published: (2024)
Revisiting Knowledge Distillation for Autoregressive Language Models
by: Zhong, Qihuang, et al.
Published: (2024)
by: Zhong, Qihuang, et al.
Published: (2024)
Steering Evaluation-Aware Language Models to Act Like They Are Deployed
by: Hua, Tim Tian, et al.
Published: (2025)
by: Hua, Tim Tian, et al.
Published: (2025)
Towards the Law of Capacity Gap in Distilling Language Models
by: Zhang, Chen, et al.
Published: (2023)
by: Zhang, Chen, et al.
Published: (2023)
A Federated and Parameter-Efficient Framework for Large Language Model Training in Medicine
by: Li, Anran, et al.
Published: (2026)
by: Li, Anran, et al.
Published: (2026)
QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models
by: Jeon, Hyesung, et al.
Published: (2025)
by: Jeon, Hyesung, et al.
Published: (2025)
Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL
by: Zhong, Qihuang, et al.
Published: (2024)
by: Zhong, Qihuang, et al.
Published: (2024)
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation
by: Zhong, Qihuang, et al.
Published: (2022)
by: Zhong, Qihuang, et al.
Published: (2022)
Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models
by: Gu, Yanggan, et al.
Published: (2025)
by: Gu, Yanggan, et al.
Published: (2025)
Reasoning-preserved Efficient Distillation of Large Language Models via Activation-aware Initialization
by: He, Junlin, et al.
Published: (2026)
by: He, Junlin, et al.
Published: (2026)
On-Policy Context Distillation for Language Models
by: Ye, Tianzhu, et al.
Published: (2026)
by: Ye, Tianzhu, et al.
Published: (2026)
Enhancing One-shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism
by: Li, Guanchen, et al.
Published: (2024)
by: Li, Guanchen, et al.
Published: (2024)
MiniPLM: Knowledge Distillation for Pre-Training Language Models
by: Gu, Yuxian, et al.
Published: (2024)
by: Gu, Yuxian, et al.
Published: (2024)
Efficient or Powerful? Trade-offs Between Machine Learning and Deep Learning for Mental Illness Detection on Social Media
by: Ding, Zhanyi, et al.
Published: (2025)
by: Ding, Zhanyi, et al.
Published: (2025)
Generative Psycho-Lexical Approach for Constructing Value Systems in Large Language Models
by: Ye, Haoran, et al.
Published: (2025)
by: Ye, Haoran, et al.
Published: (2025)
MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment
by: Wang, Tianze, et al.
Published: (2025)
by: Wang, Tianze, et al.
Published: (2025)
MPF: Aligning and Debiasing Language Models post Deployment via Multi Perspective Fusion
by: Guan, Xin, et al.
Published: (2025)
by: Guan, Xin, et al.
Published: (2025)
OmniThoughtVis: A Scalable Distillation Pipeline for Deployable Multimodal Reasoning Models
by: Yue, Yuanhao, et al.
Published: (2026)
by: Yue, Yuanhao, et al.
Published: (2026)
Similar Items
-
Knowledge Graph-Infused Fine-Tuning for Structured Reasoning in Large Language Models
by: Zhang, Wuyang, et al.
Published: (2025) -
LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language Models
by: Yang, Runming, et al.
Published: (2024) -
Word Segmentation for Asian Languages: Chinese, Korean, and Japanese
by: Rho, Matthew, et al.
Published: (2024) -
Source-Modality Monitoring in Vision-Language Models
by: Hua, Etha Tianze, et al.
Published: (2026) -
Large Language Models Explore by Latent Distilling
by: Zeng, Yuanhao, et al.
Published: (2026)