:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Yuxi, Deng, Renjia, He, Yutong, Wang, Xue, Yao, Tao, Yuan, Kun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2511.00056
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RoPeSLR: 3D RoPE-driven Sparse-LowRank Attention for Efficient Diffusion Transformers
by: Liu, Yuxi, et al.
Published: (2026)

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference
by: Zhou, Ruijie, et al.
Published: (2026)

CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure
by: Kong, Boao, et al.
Published: (2025)

AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs
by: He, Di, et al.
Published: (2025)

GIPO: Gaussian Importance Sampling Policy Optimization
by: Lu, Chengxuan, et al.
Published: (2026)

Training Long-Context LLMs Efficiently via Chunk-wise Optimization
by: Li, Wenhao, et al.
Published: (2025)

MPPO: Multi Pair-wise Preference Optimization for LLMs with Arbitrary Negative Samples
by: Xie, Shuo, et al.
Published: (2024)

ESPO: Entropy Importance Sampling Policy Optimization
by: Sheng, Yuepeng, et al.
Published: (2025)

HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading
by: Luo, Cheng, et al.
Published: (2025)

Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model
by: Si, Qi, et al.
Published: (2026)

Two-Stage Grid Optimization for Group-wise Quantization of LLMs
by: Kim, Junhan, et al.
Published: (2026)

Preference as Reward, Maximum Preference Optimization with Importance Sampling
by: Jiang, Zaifan, et al.
Published: (2023)

Beyond Importance Sampling: Rejection-Gated Policy Optimization
by: Sun, Ziwu, et al.
Published: (2026)

LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
by: Pan, Rui, et al.
Published: (2024)

Learning More with Less: A Dynamic Dual-Level Down-Sampling Framework for Efficient Policy Optimization
by: Wang, Chao, et al.
Published: (2025)

A Sample Efficient Conditional Independence Test in the Presence of Discretization
by: Sun, Boyang, et al.
Published: (2025)

Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy
by: Xue, Ruizhan, et al.
Published: (2025)

MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
by: Wang, Ziqing, et al.
Published: (2026)

Quotient DAGs for Off-Policy Evaluation:Forward-Flow Importance Sampling and Exact Slate Propensities
by: Xie, Ziwen, et al.
Published: (2026)

Importance Sampling for Nonlinear Models
by: Rajmohan, Prakash Palanivelu, et al.
Published: (2025)

Rethinking Importance Sampling in LLM Policy Optimization: A Cumulative Token Perspective
by: Zhang, Yuheng, et al.
Published: (2026)

A Step Back: Prefix Importance Ratio Stabilizes Policy Optimization
by: Lei, Shiye, et al.
Published: (2026)

Sample-Efficient Alignment for LLMs
by: Liu, Zichen, et al.
Published: (2024)

Refining Adaptive Zeroth-Order Optimization at Ease
by: Shu, Yao, et al.
Published: (2025)

FlashSampling: Fast and Memory-Efficient Exact Sampling
by: Ruiz, Tomas, et al.
Published: (2026)

PiCO: Peer Review in LLMs based on the Consistency Optimization
by: Ning, Kun-Peng, et al.
Published: (2024)

Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks
by: Jin, Dian, et al.
Published: (2025)

Unified Parameter-Efficient Unlearning for LLMs
by: Ding, Chenlu, et al.
Published: (2024)

FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits
by: Lu, Pingchen, et al.
Published: (2025)

Step-wise Adaptive Integration of Supervised Fine-tuning and Reinforcement Learning for Task-Specific LLMs
by: Chen, Jack, et al.
Published: (2025)

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
by: Lai, Xin, et al.
Published: (2024)

Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators
by: Kim, Jiyoon, et al.
Published: (2025)

COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training
by: Xi, Haocheng, et al.
Published: (2024)

RevFFN: Memory-Efficient Full-Parameter Fine-Tuning of Mixture-of-Experts LLMs with Reversible Blocks
by: Liu, Ningyuan, et al.
Published: (2025)

AIS: Adaptive Importance Sampling for Quantized RL
by: Zhou, Jiajun, et al.
Published: (2026)

GWT: Scalable Optimizer State Compression for Large Language Model Training
by: Wen, Ziqing, et al.
Published: (2025)

CP Loss: Channel-wise Perceptual Loss for Time Series Forecasting
by: Zha, Yaohua, et al.
Published: (2026)

DeltaDQ: Ultra-High Delta Compression for Fine-Tuned LLMs via Group-wise Dropout and Separate Quantization
by: Jiang, Yanfeng, et al.
Published: (2024)

Memory Caching: RNNs with Growing Memory
by: Behrouz, Ali, et al.
Published: (2026)

CoPRIS: Efficient and Stable Reinforcement Learning via Concurrency-Controlled Partial Rollout with Importance Sampling
by: Qu, Zekai, et al.
Published: (2025)