:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hsieh, He-Yen, Wang, Hong, Kung, H. T.
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2512.00670
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

dVoting: Fast Voting for dLLMs
by: Feng, Sicheng, et al.
Published: (2026)

DMax: Aggressive Parallel Decoding for dLLMs
by: Chen, Zigeng, et al.
Published: (2026)

Quantization Meets dLLMs: A Systematic Study of Post-training Quantization for Diffusion LLMs
by: Lin, Haokun, et al.
Published: (2025)

Every Step Counts: Decoding Trajectories as Authorship Fingerprints of dLLMs
by: Li, Qi, et al.
Published: (2025)

Rainbow Padding: Mitigating Early Termination in Instruction-Tuned Diffusion LLMs
by: Kim, Bumjun, et al.
Published: (2025)

SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization
by: Mishra, Prakamya, et al.
Published: (2024)

EDIT: Enhancing Vision Transformers by Mitigating Attention Sink through an Encoder-Decoder Architecture
by: Feng, Wenfeng, et al.
Published: (2025)

MX-SAFE: Versatile Inference- and Training-Proof Microscaling Format with On-the-Fly Exponent and Mantissa Bit Allocation
by: Park, Dahoon, et al.
Published: (2026)

HYPE-EDIT-1: Benchmark for Measuring Reliability in Frontier Image Editing Models
by: Chan, Wing, et al.
Published: (2026)

ES-dLLM: Efficient Inference for Diffusion Large Language Models by Early-Skipping
by: Zhu, Zijian, et al.
Published: (2026)

dParallel: Learnable Parallel Decoding for dLLMs
by: Chen, Zigeng, et al.
Published: (2025)

Training-Free Diffusion-Driven Modeling of Pareto Set Evolution for Dynamic Multiobjective Optimization
by: Guan, Jian, et al.
Published: (2026)

LLMs Are Prone to Fallacies in Causal Inference
by: Joshi, Nitish, et al.
Published: (2024)

Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition
by: Yeh, Chun-Hsiao, et al.
Published: (2024)

dMoE: dLLMs with Learnable Block Experts
by: Feng, Sicheng, et al.
Published: (2026)

End-to-End On-Device Quantization-Aware Training for LLMs at Inference Cost
by: Tan, Qitao, et al.
Published: (2025)

PQS (Prune, Quantize, and Sort): Low-Bitwidth Accumulation of Dot Products in Neural Network Computations
by: Natesh, Vikas, et al.
Published: (2025)

Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling
by: Fang, Wenxuan, et al.
Published: (2024)

dInfer: An Efficient Inference Framework for Diffusion Language Models
by: Ma, Yuxin, et al.
Published: (2025)

Imbalanced Gradients in RL Post-Training of Multi-Task LLMs
by: Wu, Runzhe, et al.
Published: (2025)

GradPruner: Gradient-Guided Layer Pruning Enabling Efficient Fine-Tuning and Inference for LLMs
by: Huang, Wei, et al.
Published: (2026)

LiDAR-EDIT: LiDAR Data Generation by Editing the Object Layouts in Real-World Scenes
by: Ho, Shing-Hei, et al.
Published: (2024)

Dynamic Gradient Sparse Update for Edge Training
by: Li, I-Hsuan, et al.
Published: (2025)

Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
by: Zhang, Yuxin, et al.
Published: (2023)

Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing
by: Wang, Xu, et al.
Published: (2025)

Predict-then-Diffuse: Adaptive Response Length for Compute-Budgeted Inference in Diffusion LLMs
by: Rottoli, Michael, et al.
Published: (2026)

Trained Persistent Memory for Frozen Decoder-Only LLMs
by: Jeong, Hong
Published: (2026)

Continuous Approximations for Improving Quantization Aware Training of LLMs
by: Li, He, et al.
Published: (2024)

TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks
by: Chu, Zhaoyang, et al.
Published: (2026)

MANATEE: Inference-Time Lightweight Diffusion Based Safety Defense for LLMs
by: Kan, Chun Yan Ryan, et al.
Published: (2026)

G-Drift MIA: Membership Inference via Gradient-Induced Feature Drift in LLMs
by: Ranjan, Ravi, et al.
Published: (2026)

GAC: Stabilizing Asynchronous RL Training for LLMs via Gradient Alignment Control
by: Xu, Haofeng, et al.
Published: (2026)

Encoder-Decoder Diffusion Language Models for Efficient Training and Inference
by: Arriola, Marianne, et al.
Published: (2025)

Sorted Weight Sectioning for Energy-Efficient Unstructured Sparse DNNs on Compute-in-Memory Crossbars
by: Farias, Matheus, et al.
Published: (2024)

Efficient Reprogramming of Memristive Crossbars for DNNs: Weight Sorting and Bit Stucking
by: Farias, Matheus, et al.
Published: (2024)

Dynamic Vocabulary Pruning in Early-Exit LLMs
by: Vincenti, Jort, et al.
Published: (2024)

One-Spike SNN: Single-Spike Phase Coding with Base Manipulation for ANN-to-SNN Conversion Loss Minimization
by: Hwang, Sangwoo, et al.
Published: (2024)

How to Train Data-Efficient LLMs
by: Sachdeva, Noveen, et al.
Published: (2024)

Is My Text in Your AI Model? Gradient-based Membership Inference Test applied to LLMs
by: Mancera, Gonzalo, et al.
Published: (2025)

Certification for Differentially Private Prediction in Gradient-Based Training
by: Wicker, Matthew, et al.
Published: (2024)