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cs.LGcs.DCcs.AIcs.CLcs.DBcs.CVcs.CRcs.PLstat.MLcs.IR

On Valency

published · living versions
W_ajdq8vfr·v1 · currentpublished

Preprints & journals

86 papers in the corpus · 2017–2026
AReaL-RSI: Adaptive Scaling and Coordination of Recursive Self-Improvement2610.18083v1 · Wenhao Zhou, Jiajun Song, Haitao Wang et al.2026 · 0 citationsarXiv
Coda: Exploiting Admission Flexibility for Coding-Agent Serving2610.03088v1 · Youhe Jiang, Fangcheng Fu, Binhang Yuan et al.2026 · 0 citationsarXiv
AFORE: Attention-FFN Disaggregation with Overlapped Reconfiguration of Experts2610.03203v1 · Wenshuang Li, Youhe Jiang, You Peng et al.2026 · 0 citationsarXiv
D2K-Bench: Can LLM Agents Turn Expert Designs into Efficient GPU Kernels?2610.03226v1 · Daifeng Li, Huiqiang Jiang, Chengruidong Zhang et al.2026 · 0 citationsarXiv
ePACT: Energy-Performance-Aware Commitment Tracking for LLM Serving2610.01784v1 · You Peng, Youhe Jiang, Chen Wang et al.2026 · 0 citationsarXiv
Denoising Surface: Modeling and Predicting Inference Cost for Diffusion LLM Serving2610.00499v1 · Haoyu Zheng, Fangcheng Fu, Binhang Yuan et al.2026 · 0 citationsarXiv
GameASG-Bench: Benchmarking Autonomous Software Generation for Game Development2609.21293v1 · Xiuhui Zhang, Yi Chen, Shusheng Xu et al.2026 · 0 citationsarXiv
From LLM Inference to Agentic Workloads: Characterization and Implications for Serving Systems2608.15127v1 · Chaokun Chang, Yukun Zhou, Kaihua Fu et al.2026 · 0 citationsarXiv
AReaL-DTE: Sparse Policy-Weight Transfer for Online Agentic Reinforcement Learning2608.00455v1 · Yingqi Peng, Jiawei Zhang, Wenhao Zhou et al.2026 · 0 citationsarXiv
D^2SD: Accelerating Speculative Decoding with Dual Diffusion Draft Models2606.04446v1 · Liyuan Zhang, Jiarui Zhang, Jinwei Yao et al.2026 · 0 citationsarXiv
PrefixFlow: Training-Time KV Caching for Schedule-Level Prefix Reuse in LLM RL Training2606.01143v4 · Pengbo Li, Feiyuan Zhang, Guangming Sheng et al.2026 · 0 citationsarXiv
HexAGenT: Efficient Agentic LLM Serving via Workflow- and Heterogeneity-Aware Scheduling2605.16637v1 · You Peng, Youhe Jiang, Wenshuang Li et al.2026 · 0 citationsarXiv
HexiSeq: Accommodating Long Context Training of LLMs over Heterogeneous Hardware2605.07569v1 · Yan Liang, Youhe Jiang, Ran Yan et al.2026 · 0 citationsarXiv
Efficient Serving for Dynamic Agent Workflows with Prediction-based KV-Cache Management2605.06472v1 · Haoyu Zheng, Fangcheng Fu, Jia Wu et al.2026 · 0 citationsarXiv
Ave: Guiding Agentic GPU Optimization Using Data-Flow Invariants2604.18616v2 · Haohui Mai, Xiaoyan Guo, Xiangyun Ding et al.2026 · 0 citationsarXiv
Autopoiesis: A Self-Evolving System Paradigm for LLM Serving Under Runtime Dynamics2604.07144v1 · Youhe Jiang, Ran Yan, You Peng et al.2026 · 0 citationsarXiv
Trident: Adaptive Scheduling for Heterogeneous Multimodal Data Pipelines2603.02075v1 · Ding Pan, Zhuangzhuang Zhou, Long Qian et al.2026 · 0 citationsarXiv
IMMACULATE: A Practical LLM Auditing Framework via Verifiable Computation2602.22700v1 · Yanpei Guo, Wenjie Qu, Linyu Wu et al.2026 · 0 citationsarXiv
S2SServiceBench: A Multimodal Benchmark for Last-Mile S2S Climate Services2602.14017v1 · Chenyue Li, Wen Deng, Zhuotao Sun et al.2026 · 0 citationsarXiv
CLIMATEAGENT: Multi-Agent Orchestration for Complex Climate Data Science Workflows2511.20109v2 · Chenyue Li, Hyeonjae Kim, Wen Deng et al.2025 · 0 citationsarXiv
AReaL-Hex: Accommodating Asynchronous RL Training over Heterogeneous GPUs2511.00796v1 · Ran Yan, Youhe Jiang, Tianyuan Wu et al.2025 · 0 citationsarXiv
UltraLLaDA: Scaling the Context Length to 128K for Diffusion Large Language Models2510.10481v1 · Guangxin He, Shen Nie, Fengqi Zhu et al.2025 · 0 citationsarXiv
Parallax: Efficient LLM Inference Service over Decentralized Environment2509.26182v1 · Chris Tong, Youhe Jiang, Gufeng Chen et al.2025 · 0 citationsarXiv
Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More Than 9600 GPUs2509.15940v1 · Guoliang He, Youhe Jiang, Wencong Xiao et al.2025 · 2 citationsarXiv
FSA: An Alternative Efficient Implementation of Native Sparse Attention Kernel2508.18224v3 · Ran Yan, Youhe Jiang, Zhuoming Chen et al.2025 · 0 citationsarXiv
Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning2506.07227v1 · Tianyi Bai, Yuxuan Fan, Jiantao Qiu et al.2025 · 3 citationsarXiv
Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification2506.07235v1 · Tianyi Bai, Zengjie Hu, Fupeng Sun et al.2025 · 2 citationsarXiv
Cascadia: An Efficient Cascade Serving System for Large Language Models2506.04203v2 · Youhe Jiang, Fangcheng Fu, Wanru Zhao et al.2025 · 0 citationsarXiv
TAH-QUANT: Effective Activation Quantization in Pipeline Parallelism over Slow Network2506.01352v2 · Guangxin He, Yuan Cao, Yutong He et al.2025 · 0 citationsarXiv
AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning2505.24298v5 · Wei Fu, Jiaxuan Gao, Xujie Shen et al.2025 · 4 citationsarXiv
HEXGEN-FLOW: Optimizing LLM Inference Request Scheduling for Agentic Text-to-SQL2505.05286v3 · You Peng, Youhe Jiang, Wenqi Jiang et al.2025 · 0 citationsarXiv
MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage2504.01506v1 · Yongjun He, Roger Waleffe, Zhichao Han et al.2025 · 1 citationarXiv
Prompt Inversion Attack against Collaborative Inference of Large Language Models2503.09022v3 · Wenjie Qu, Yuguang Zhou, Yongji Wu et al.2025 · 10 citationsarXiv
HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment2502.07903v1 · Youhe Jiang, Ran Yan, Binhang Yuan2025 · 0 citationsarXiv
CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models2502.01378v1 · Guanduo Chen, Yutong He, Yipeng Hu et al.2025 · 2 citationsarXiv
Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs2502.00722v2 · Youhe Jiang, Fangcheng Fu, Xiaozhe Yao et al.2025 · 0 citationsarXiv
Career total: 129 works. 86 are in this corpus.Showing the 50 most recent.

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