Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition
Fuente:
arXiv
Saved in:
| Main Authors: | Cho, Yoonjun, Kim, Soeun, Jeon, Dongjae, Lee, Kyelim, Lee, Beomsoo, No, Albert |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Preserve-Then-Quantize: Balancing Rank Budgets for Quantization Error Reconstruction in LLMs
by: Cho, Yoonjun, et al.
Published: (2026)
by: Cho, Yoonjun, et al.
Published: (2026)
Where Rollouts Begin: Low-Load, High-Leverage First-Token Diversification for RLVR
by: Kim, Soeun, et al.
Published: (2026)
by: Kim, Soeun, et al.
Published: (2026)
A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models
by: Jeung, Wonje, et al.
Published: (2025)
by: Jeung, Wonje, et al.
Published: (2025)
A Theoretical Analysis of Why Masked Diffusion Models Mitigate the Reversal Curse
by: Jeon, Moongyu, et al.
Published: (2026)
by: Jeon, Moongyu, et al.
Published: (2026)
Few-Shot Truly Benign DPO Attack for Jailbreaking LLMs
by: Yoon, Sangyeon, et al.
Published: (2026)
by: Yoon, Sangyeon, et al.
Published: (2026)
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
by: Lee, Jung Hyun, et al.
Published: (2024)
by: Lee, Jung Hyun, et al.
Published: (2024)
Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes
by: Jeon, Dongjae, et al.
Published: (2024)
by: Jeon, Dongjae, et al.
Published: (2024)
MUXQ: Mixed-to-Uniform Precision MatriX Quantization via Low-Rank Outlier Decomposition
by: Lee, Seoungsub, et al.
Published: (2026)
by: Lee, Seoungsub, et al.
Published: (2026)
A Single Linear Layer Yields Task-Adapted Low-Rank Matrices
by: Kim, Hwichan, et al.
Published: (2024)
by: Kim, Hwichan, et al.
Published: (2024)
LittleBit: Ultra Low-Bit Quantization via Latent Factorization
by: Lee, Banseok, et al.
Published: (2025)
by: Lee, Banseok, et al.
Published: (2025)
EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition
by: Nasiri, Hamid, et al.
Published: (2025)
by: Nasiri, Hamid, et al.
Published: (2025)
Low-Rank Quantization-Aware Training for LLMs
by: Bondarenko, Yelysei, et al.
Published: (2024)
by: Bondarenko, Yelysei, et al.
Published: (2024)
The Expressive Power of Low-Rank Adaptation
by: Zeng, Yuchen, et al.
Published: (2023)
by: Zeng, Yuchen, et al.
Published: (2023)
SynC: Synthetic Image Caption Dataset Refinement with One-to-many Mapping for Zero-shot Image Captioning
by: Kim, Si-Woo, et al.
Published: (2025)
by: Kim, Si-Woo, et al.
Published: (2025)
IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning
by: Lee, Soeun, et al.
Published: (2024)
by: Lee, Soeun, et al.
Published: (2024)
ViPCap: Retrieval Text-Based Visual Prompts for Lightweight Image Captioning
by: Kim, Taewhan, et al.
Published: (2024)
by: Kim, Taewhan, et al.
Published: (2024)
AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models
by: Lee, Sangjun, et al.
Published: (2025)
by: Lee, Sangjun, et al.
Published: (2025)
Training Acceleration of Low-Rank Decomposed Networks using Sequential Freezing and Rank Quantization
by: Hajimolahoseini, Habib, et al.
Published: (2023)
by: Hajimolahoseini, Habib, et al.
Published: (2023)
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers
by: Kim, Junhan, et al.
Published: (2024)
by: Kim, Junhan, et al.
Published: (2024)
LoTR: Low Tensor Rank Weight Adaptation
by: Bershatsky, Daniel, et al.
Published: (2024)
by: Bershatsky, Daniel, et al.
Published: (2024)
An Information Theoretic Evaluation Metric For Strong Unlearning
by: Jeon, Dongjae, et al.
Published: (2024)
by: Jeon, Dongjae, et al.
Published: (2024)
MOGAM: A Multimodal Object-oriented Graph Attention Model for Depression Detection
by: Cha, Junyeop, et al.
Published: (2024)
by: Cha, Junyeop, et al.
Published: (2024)
SBoRA: Low-Rank Adaptation with Regional Weight Updates
by: Po, Lai-Man, et al.
Published: (2024)
by: Po, Lai-Man, et al.
Published: (2024)
zFLoRA: Zero-Latency Fused Low-Rank Adapters
by: Gowda, Dhananjaya, et al.
Published: (2025)
by: Gowda, Dhananjaya, et al.
Published: (2025)
ROSAQ: Rotation-based Saliency-Aware Weight Quantization for Efficiently Compressing Large Language Models
by: Yoon, Junho, et al.
Published: (2025)
by: Yoon, Junho, et al.
Published: (2025)
LoRA-Mini : Adaptation Matrices Decomposition and Selective Training
by: Singh, Ayush, et al.
Published: (2024)
by: Singh, Ayush, et al.
Published: (2024)
BoA: Attention-aware Post-training Quantization without Backpropagation
by: Kim, Junhan, et al.
Published: (2024)
by: Kim, Junhan, et al.
Published: (2024)
QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
by: Kim, Taesu, et al.
Published: (2024)
by: Kim, Taesu, et al.
Published: (2024)
Quantization Dominates Rank Reduction for KV-Cache Compression
by: Salfati, Samuel
Published: (2026)
by: Salfati, Samuel
Published: (2026)
BioBridge: Unified Bio-Embedding with Bridging Modality in Code-Switched EMR
by: Jeon, Jangyeong, et al.
Published: (2024)
by: Jeon, Jangyeong, et al.
Published: (2024)
DSG-KD: Knowledge Distillation from Domain-Specific to General Language Models
by: Cho, Sangyeon, et al.
Published: (2024)
by: Cho, Sangyeon, et al.
Published: (2024)
Distinct Computations Emerge From Compositional Curricula in In-Context Learning
by: Lee, Jin Hwa, et al.
Published: (2025)
by: Lee, Jin Hwa, et al.
Published: (2025)
GWQ: Gradient-Aware Weight Quantization for Large Language Models
by: Shao, Yihua, et al.
Published: (2024)
by: Shao, Yihua, et al.
Published: (2024)
ECO: Quantized Training without Full-Precision Master Weights
by: Nikdan, Mahdi, et al.
Published: (2026)
by: Nikdan, Mahdi, et al.
Published: (2026)
GFlowPO: Generative Flow Network as a Language Model Prompt Optimizer
by: Cho, Junmo, et al.
Published: (2026)
by: Cho, Junmo, et al.
Published: (2026)
MoR: Mixture of Ranks for Low-Rank Adaptation Tuning
by: Tang, Chuanyu, et al.
Published: (2024)
by: Tang, Chuanyu, et al.
Published: (2024)
Optimal Policy Sparsification and Low Rank Decomposition for Deep Reinforcement Learning
by: Goddla, Vikram
Published: (2024)
by: Goddla, Vikram
Published: (2024)
TTA-DAME: Test-Time Adaptation with Domain Augmentation and Model Ensemble for Dynamic Driving Conditions
by: Jeon, Dongjae, et al.
Published: (2025)
by: Jeon, Dongjae, et al.
Published: (2025)
Two-Stage Grid Optimization for Group-wise Quantization of LLMs
by: Kim, Junhan, et al.
Published: (2026)
by: Kim, Junhan, et al.
Published: (2026)
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs
by: Cheng, Wenhua, et al.
Published: (2023)
by: Cheng, Wenhua, et al.
Published: (2023)
Similar Items
-
Preserve-Then-Quantize: Balancing Rank Budgets for Quantization Error Reconstruction in LLMs
by: Cho, Yoonjun, et al.
Published: (2026) -
Where Rollouts Begin: Low-Load, High-Leverage First-Token Diversification for RLVR
by: Kim, Soeun, et al.
Published: (2026) -
A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models
by: Jeung, Wonje, et al.
Published: (2025) -
A Theoretical Analysis of Why Masked Diffusion Models Mitigate the Reversal Curse
by: Jeon, Moongyu, et al.
Published: (2026) -
Few-Shot Truly Benign DPO Attack for Jailbreaking LLMs
by: Yoon, Sangyeon, et al.
Published: (2026)