Cover Image

ReSpec: Towards Optimizing Speculative Decoding in Reinforcement Learning Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Qiaoling, Liu, Zijun, Sun, Peng, Li, Shenggui, Wang, Guoteng, Liu, Ziming, Wen, Yonggang, Feng, Siyuan, Zhang, Tianwei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SPPO:Efficient Long-sequence LLM Training via Adaptive Sequence Pipeline Parallel Offloading
by: Chen, Qiaoling, et al.
Published: (2025)

CONCUR: High-Throughput Agentic Batch Inference of LLM via Congestion-Based Concurrency Control
by: Chen, Qiaoling, et al.
Published: (2026)

AMSP: Reducing Communication Overhead of ZeRO for Efficient LLM Training
by: Chen, Qiaoling, et al.
Published: (2023)

InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding
by: Chen, Qiaoling, et al.
Published: (2024)

LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism
by: Gu, Diandian, et al.
Published: (2024)

PromptTuner: SLO-Aware Elastic System for LLM Prompt Tuning
by: Gao, Wei, et al.
Published: (2026)

Expert-as-a-Service: Towards Efficient, Scalable, and Robust Large-scale MoE Serving
by: Liu, Ziming, et al.
Published: (2025)

SwiftSpec: Ultra-Low Latency LLM Decoding by Scaling Asynchronous Speculative Decoding
by: Zhang, Ziyi, et al.
Published: (2025)

Characterization of Large Language Model Development in the Datacenter
by: Hu, Qinghao, et al.
Published: (2024)

FlowSpec: Continuous Pipelined Speculative Decoding for Efficient Distributed LLM Inference
by: Liu, Xing, et al.
Published: (2025)

FlexSpec: Frozen Drafts Meet Evolving Targets in Edge-Cloud Collaborative LLM Speculative Decoding
by: Li, Yuchen, et al.
Published: (2026)

SpecBranch: Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism
by: Shen, Yuhao, et al.
Published: (2025)

SpecMemo: Speculative Decoding is in Your Pocket
by: Yildirim, Selin, et al.
Published: (2025)

SpecFed: Accelerating Federated LLM Inference with Speculative Decoding and Compressed Transmission
by: Zheng, Ce, et al.
Published: (2026)

SpecRouter: Adaptive Routing for Multi-Level Speculative Decoding in Large Language Models
by: Wu, Hang, et al.
Published: (2025)

GoodSpeed: Optimizing Fair Goodput with Adaptive Speculative Decoding in Distributed Edge Inference
by: Tran, Phuong, et al.
Published: (2025)

Efficient Training of Large Language Models on Distributed Infrastructures: A Survey
by: Duan, Jiangfei, et al.
Published: (2024)

PlexRL: Cluster-Level Orchestration of Serviceized LLM Execution for RLVR
by: Zhang, Yiqi, et al.
Published: (2026)

SpecInF: Exploiting Idle GPU Resources in Distributed DL Training via Speculative Inference Filling
by: Lv, Cunchi, et al.
Published: (2025)

Accelerating Mixture-of-Experts Inference by Hiding Offloading Latency with Speculative Decoding
by: Wang, Zhibin, et al.
Published: (2025)

SP-MoE: Speculative Decoding and Prefetching for Accelerating MoE-based Model Inference
by: Chen, Liangkun, et al.
Published: (2025)

PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding
by: McDanel, Bradley, et al.
Published: (2025)

Accelerating OpenPangu Inference on NPU via Speculative Decoding
by: Dai, Yuntao, et al.
Published: (2026)

Semantic-Aware Scheduling for GPU Clusters with Large Language Models
by: Wang, Zerui, et al.
Published: (2025)

SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting
by: Xu, Jiaming, et al.
Published: (2025)

TorchGT: A Holistic System for Large-scale Graph Transformer Training
by: Zhang, Meng, et al.
Published: (2024)

Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism
by: Wei, Jinhui, et al.
Published: (2025)

FASER: Fine-Grained Phase Management for Speculative Decoding in Dynamic LLM Serving
by: Chen, Wenyan, et al.
Published: (2026)

A Pipelined Collaborative Speculative Decoding Framework for Efficient Edge-Cloud LLM Inference
by: Zhang, Yida, et al.
Published: (2026)

PipeSD: An Efficient Cloud-Edge Collaborative Pipeline Inference Framework with Speculative Decoding
by: Han, Yunhe, et al.
Published: (2026)

Minions: Accelerating Large Language Model Inference with Aggregated Speculative Execution
by: Wang, Siqi, et al.
Published: (2024)

MoE-SpeQ: Speculative Quantized Decoding with Proactive Expert Prefetching and Offloading for Mixture-of-Experts
by: Wang, Wenfeng, et al.
Published: (2025)

SPIN: Accelerating Large Language Model Inference with Heterogeneous Speculative Models
by: Chen, Fahao, et al.
Published: (2025)

Optimizing Frequent Checkpointing via Low-Cost Differential for Distributed Training Systems
by: Yao, Chenxuan, et al.
Published: (2025)

FLASH Viterbi: Fast and Adaptive Viterbi Decoding for Modern Data Systems
by: Deng, Ziheng, et al.
Published: (2025)

Reputation-Based Leader Election under Partial Synchrony: Towards a Protocol-Independent Abstraction with Enhanced Guarantees
by: Liu, Xuyang, et al.
Published: (2025)

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding
by: Abramovich, Talor, et al.
Published: (2026)

SpecKV: Adaptive Speculative Decoding with Compression-Aware Gamma Selection
by: Shukla, Shikhar
Published: (2026)

Towards Resource-Efficient Serverless LLM Inference with SLINFER
by: Xu, Chuhao, et al.
Published: (2025)

Nightjar: Dynamic Adaptive Speculative Decoding for Large Language Models Serving
by: Li, Rui, et al.
Published: (2025)