Cover Image

DLLM Agent: See Farther, Run Faster

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhen, Huiling, Lin, Weizhe, Liu, Renxi, Han, Kai, Li, Yiming, Tian, Yuchuan, Chen, Hanting, Li, Xiaoguang, Li, Xiaosong, Chen, Chen, Yu, Xianzhi, Yuan, Mingxuan, Yan, Youliang, Qin, Peifeng, Wang, Jun, Wang, Yu, Tao, Dacheng, Wang, Yunhe
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Efficient Agents: A Co-Design of Inference Architecture and System
by: Lin, Weizhe, et al.
Published: (2025)

Revisiting Judge Decoding from First Principles via Training-Free Distributional Divergence
by: Sun, Shengyin, et al.
Published: (2026)

PSD: Pushing the Pareto Frontier of Diffusion LLMs via Parallel Speculative Decoding
by: Sun, Shengyin, et al.
Published: (2026)

DiJiang: Efficient Large Language Models through Compact Kernelization
by: Chen, Hanting, et al.
Published: (2024)

Deferred Commitment Decoding for Diffusion Language Models
by: Shu, Yingte, et al.
Published: (2026)

AgentCollab: A Self-Evaluation-Driven Collaboration Paradigm for Efficient LLM Agents
by: Gao, Wenbo, et al.
Published: (2026)

Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity
by: Tang, Yehui, et al.
Published: (2025)

Seeing Farther and Smarter: Value-Guided Multi-Path Reflection for VLM Policy Optimization
by: Yang, Yanting, et al.
Published: (2026)

Nexus: Higher-Order Attention Mechanisms in Transformers
by: Chen, Hanting, et al.
Published: (2025)

U-REPA: Aligning Diffusion U-Nets to ViTs
by: Tian, Yuchuan, et al.
Published: (2025)

U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers
by: Tian, Yuchuan, et al.
Published: (2024)

TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time Scaling
by: Lin, Weizhe, et al.
Published: (2025)

Multiscale Positive-Unlabeled Detection of AI-Generated Texts
by: Tian, Yuchuan, et al.
Published: (2023)

Scaling Up, Speeding Up: A Benchmark of Speculative Decoding for Efficient LLM Test-Time Scaling
by: Sun, Shengyin, et al.
Published: (2025)

Mask Is What DLLM Needs: A Masked Data Training Paradigm for Diffusion LLMs
by: Ma, Linrui, et al.
Published: (2026)

EAQuant: Enhancing Post-Training Quantization for MoE Models via Expert-Aware Optimization
by: Fu, Zhongqian, et al.
Published: (2025)

SwiftMem: Fast Agentic Memory via Query-aware Indexing
by: Tian, Anxin, et al.
Published: (2026)

C-MOP: Integrating Momentum and Boundary-Aware Clustering for Enhanced Prompt Evolution
by: Yan, Binwei, et al.
Published: (2026)

Chem4DLLM: 4D Multimodal LLMs for Chemical Dynamics Understanding
by: Li, Xinyu, et al.
Published: (2026)

Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation
by: Tian, Yuchuan, et al.
Published: (2024)

MemDLM: Memory-Enhanced DLM Training
by: Pei, Zehua, et al.
Published: (2026)

Rejection Mixing: Fast Semantic Propagation of Mask Tokens for Efficient DLLM Inference
by: Ye, Yushi, et al.
Published: (2026)

DSPO: Direct Semantic Preference Optimization for Real-World Image Super-Resolution
by: Cai, Miaomiao, et al.
Published: (2025)

IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions
by: Tu, Zhijun, et al.
Published: (2024)

Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs
by: Jin, Mingyu, et al.
Published: (2026)

Top 10 Open Challenges Steering the Future of Diffusion Language Model and Its Variants
by: Wang, Yunhe, et al.
Published: (2026)

PlainUSR: Chasing Faster ConvNet for Efficient Super-Resolution
by: Wang, Yan, et al.
Published: (2024)

Western Ragweed Farther East
by: Groh, Herbert.
Published: (1929)

Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
by: Guo, Jianyuan, et al.
Published: (2024)

AttentionPredictor: Temporal Patterns Matter for KV Cache Compression
by: Yang, Qingyue, et al.
Published: (2025)

Short-Term Outcomes of Patients with Non-Metastatic Malignant Solid Tumor after Coronary Artery Bypass Grafting: A Population-Based Study of National/Nationwide Inpatient Sample From 2015 To 2020
by: Renxi Li
Published: (2025)

DiC: Rethinking Conv3x3 Designs in Diffusion Models
by: Tian, Yuchuan, et al.
Published: (2024)

Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs
by: Chen, Hanting, et al.
Published: (2025)

Unshackling Context Length: An Efficient Selective Attention Approach through Query-Key Compression
by: Wang, Haoyu, et al.
Published: (2025)

What Matters For Safety Alignment?
by: Li, Xing, et al.
Published: (2026)

SVDq: 1.25-bit and 410x Key Cache Compression for LLM Attention
by: Yankun, Hong, et al.
Published: (2025)

ROOT: Robust Orthogonalized Optimizer for Neural Network Training
by: He, Wei, et al.
Published: (2025)

I Still See You: Why Existing IoT Traffic Reshaping Fails
by: Wang, Su, et al.
Published: (2024)

Official-NV: An LLM-Generated News Video Dataset for Multimodal Fake News Detection
by: Wang, Yihao, et al.
Published: (2024)

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models
by: Tu, Zhijun, et al.
Published: (2025)