University of Illinois Urbana-Champaign
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- Survey maps a framework for real-time interactive omni AI
Researchers from the University of Illinois Urbana-Champaign, Carnegie Mellon University, and Columbia University proposed a survey framework that links omni intelligence with omni interactivity. Covering 349 works, it connects streaming representation, model architecture, training, deployment, and evaluation while examining interruption recovery, response timing, and the trade-off between fast responses and complex reasoning. The survey also discusses multi-rate interactive intelligence, foreground-background coordination, and six dimensions for evaluating interactive behavior.
新智元 · 🔥 0 - Study finds dynamic concurrency in coding agents helps long tasks but hurts short ones
Researchers from Nanjing University and UIUC ran paired experiments on the dynamic concurrency mechanisms of three coding agents — Codex, Claude Code and Kimi Code — across 354 software engineering tasks and 2,124 executions, analysing full main-agent and sub-agent traces. Results varied by task type and system: on LoopsBench, Claude Code's completion rate rose from 7.1% sequentially to 21.4% with concurrency, and Codex rose from 34.6% to 57.7% on NL2Repo; on SWE-bench Verified, Claude Code fell from 83.0% to 59.0% and Kimi Code from 77.0% to 59.0%, while Codex stayed at 71.0% in both modes. Trace analysis produced a taxonomy of 4 categories, 13 subcategories and 28 concurrency failure modes (such as missing owners, pseudo-concurrency, load imbalance, mistimed result merging and shared-environment conflicts), plus three mechanisms where concurrency paid off: complementary work, parallel exploration and independent verification.
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