works on

From the 1 of 8 linked papers with an AI index.

collaborators

8 papers

cs.AI2026

MemTxn: A Transaction Boundary for Source-Supported Updates and Complete-State Recovery in Agent Memory

Hanshuai Cui, Zhiqing Tang, Zhi Yao +3

MemTxn is a governance layer for large language model agents that adds a transaction boundary to verify source-supported memory updates, resolve conflicting facts, and recover a co…

cs.DC2026

LASER: Load-Aware Serving with Early-Exit for Reasoning LLMs at the Edge

Zhiqing Tang, Size Li, Hanshuai Cui +5

Large reasoning models (LRMs) such as DeepSeek-R1 have achieved strong performance through extended chain-of-thought (CoT) generation. However, deploying them on edge devices raise…

cs.IR2026

ConCise: Training-Free Conclusion-Chain State Compression for Cost-Efficient Multi-Step RAG Services

Kuan Yan, Zhiqing Tang, Tian Wang +1

Multi-step retrieval-augmented generation (RAG) has been widely deployed as LLM-powered web services for complex question answering, where iterative retrieval-reasoning rounds deli…

cs.AI2026

CogGuard: Cognitive and Operational Profiling for Proactive Warning in Edge Intelligent Services

Zhi Yao, Weihao Chen, Zhiqing Tang +4

Proactive warning is an important capability for edge intelligent services, where the system predicts whether a subject will successfully complete an incoming task under strict lat…

cs.AI2026

CONCORD: Asynchronous Sparse Aggregation for Device-Cloud RAG under Document Isolation

Xuedong Hu, Zhiqing Tang, Zhi Yao +2

Retrieval-augmented generation (RAG) has emerged as a pivotal technique for improving language models by incorporating external knowledge at inference time. As device-cloud collabo…

cs.LG2026

Semantic Cache Distillation: Efficient State Transfer via Reuse and Selective Patching

Qianli Ma, Zhiqing Tang, Hanshuai Cui +2

Disaggregated serving alleviates memory bottlenecks in Large Language Model (LLM) inference but creates a severe communication bottleneck: transmitting high-dimensional Key-Value (…