AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 4 of 21 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Long-running LLM agent workflows often revise interior context spans while retaining long suffixes. Although suffix tokens remain unchanged, altered causal histories and rotary positions prevent exact reuse of their offloaded key-value (KV) states. Full suffix recomputation wastes prefill work, while indiscriminate reu...
Serverless edge computing, despite its flexibility and efficiency, is hindered by high startup latency during peak load. Remote fork, employing either Checkpoint/Restore (C/R) or Remote Direct Memory Access (RDMA), offers a potential solution for function scaling acceleration. Although RDMA fork is faster, the opportun...
System is presented, a reference-aware codec that retrieves exact-token historical spans for prefill uplinks, reuses the reconstructed uplink state for same-round prefill downlinks, and generates boundary-specific decode references with lightweight causal predictors.
This work presents AsymSpec, which addresses uplink-gated verification and invalid dependent work with two corresponding mechanisms, and shows that AsymSpec delivers 2.82-28.03$\times the output-token throughput of the strongest baseline.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.